KR20210085549A - Method and system for posture estimation about object tracking taken by camera - Google Patents

Abstract

Provided is a posture estimation method for tracking an object captured by a camera, which accurately measures the posture of the object while simplifying a posture estimation procedure. According to one embodiment of the present invention, the posture estimation method allows a posture tracking application to track a guide tool by allowing a processor of a server system to operate the posture tracking application in a first image which is obtained by allowing a first image sensor to capture an image of the guide tool and a target object. The posture estimation method comprises the following steps by the posture tracking application: acquiring internal parameters and posture of the first image sensor by calibrating the first image sensor; receiving the first image captured by the first image sensor; setting a first spatial coordinate system with respect to the target object in the first image; estimating a first relative target posture by calculating a posture relative to the target object on the basis of the first spatial coordinate system; and converting the posture of the first image sensor so that the posture tracking application sets the first relative target posture as an origin posture with respect to the posture of the first image sensor to obtain a converted posture of the first image sensor.

Description

Posture estimation method and system for tracking objects captured by a camera {METHOD AND SYSTEM FOR POSTURE ESTIMATION ABOUT OBJECT TRACKING TAKEN BY CAMERA}

The present invention relates to a posture estimation method and system for tracking an object captured by a camera. More particularly, it relates to a posture estimation method and system for tracking an object captured by a camera capable of accurately estimating an object's posture while simplifying an object's posture estimation procedure by transforming an origin for posture estimation.

Modern computing and display technologies enable the development of systems for so-called "Virtual Reality (VR)" or "Augmented Reality (AR)" experiences, digitally reproduced images of these or portions are presented to the user in such a way that they are real or may be perceived to be real.

Scenarios of virtual reality typically include representations of digital or virtual image information that are not transparent to other real-world visual inputs, wherein scenarios in augmented reality are digital or virtual as augmentations to the visualization of the real world around the user. It typically includes a representation of image information.

Recently, an augmented reality environment service capable of performing a predetermined task or training by augmenting a virtual object capable of interacting with a real object of a manipulation tool and a real object to be worked is required. In particular, there is a need for an augmented reality environment service in which a user wearing an augmented reality providing device such as a smart glass that moves frequently can work or train on an augmented work target using an augmented manipulation tool. In this case, in order to augment the virtual object on the manipulation tool and the work target, a technique for estimating the posture of the manipulation tool and the work target is required. In the prior art, postures of a manipulation tool and a work target are estimated with the camera of the augmented reality providing device as an origin.

However, the prior art has many limitations in providing real-time augmented reality because the origin for posture estimation is changed whenever the augmented reality providing apparatus moves frequently, and thus the complexity and amount of calculation of the posture estimation of the manipulation tool and the work object increase. Similarly, when a plurality of users work or train in the same augmented reality environment, in the prior art, since a plurality of augmented reality providing devices move, the complexity and amount of calculation of the estimation of the manipulation tool and the work target exponentially increase, resulting in real-time augmentation. There was a limit to providing reality.

10-2016-0001699 A

An object of the present invention is to implement a method and system capable of accurately estimating an object's posture while simplifying an object's posture estimation procedure by transforming an origin for posture estimation.

In detail, an object of the present invention is to implement a method and system capable of quickly and accurately estimating a posture of a real object even when a camera moves in real time.

Another object of the present invention is to implement a method and system capable of quickly and accurately estimating postures of a plurality of real objects even when a camera moves in real time.

Another object of the present invention is to implement a method and system capable of quickly and accurately estimating postures of a plurality of real objects even when a plurality of cameras move in real time.

Another object of the present invention is to implement a method and system capable of providing a mixed reality environment in which virtual content is augmented on a plurality of real objects and interactive between the augmented real objects even when the camera moves in real time.

Another object of the present invention is to implement a method and system in which a plurality of users wearing an augmented reality providing device equipped with a camera can simultaneously work on one augmented work object in an adjacent environment.

In the first image obtained by the first image sensor capturing the guide tool and the target object according to the embodiment, the processor of the server system operates the posture tracking application to enable the posture tracking application to track the guide tool. The method of claim 1 , further comprising: obtaining, by the posture tracking application, internal parameters and posture of the first image sensor by calibrating the first image sensor; receiving, by the posture tracking application, a first image captured by the first image sensor; setting, by the posture tracking application, a first spatial coordinate system with respect to the target object in the first image; estimating, by the posture tracking application, a first target relative posture by calculating a posture relative to the target object based on the first spatial coordinate system; and converting the first image sensor posture so that the posture tracking application sets the first target relative posture as an origin posture with respect to the first image sensor posture to obtain a first image sensor conversion posture; It is possible to provide a posture estimation method for tracking an object photographed with .

In another aspect, the step of estimating the guide tool relative posture by calculating the relative posture of the guide tool based on the set origin posture in the first spatial coordinate system by the posture tracking application; and tracking, by the posture tracking application, the guide tool based on the estimated relative posture of the guide tool.

In another aspect, a second image sensor captures the guide tool and the target object, the second image sensor acquires a second image, and the posture tracking application calibrates the second image sensor to obtain the second image acquiring an internal parameter and a posture of the sensor; receiving, by the posture tracking application, a second image captured by the second image sensor; setting, by the posture tracking application, a second spatial coordinate system with respect to the target object in the second image; estimating, by the posture tracking application, a second target relative posture by calculating a posture relative to the target object based on the second spatial coordinate system; and converting the second image sensor posture so that the posture tracking application sets the second target relative posture to the origin posture with respect to the second image sensor posture in the second spatial coordinate system to obtain a second image sensor conversion posture It is possible to provide a posture estimation method for tracking an object photographed by a camera including;

In another aspect, the step of estimating a 1-2 guide tool relative posture by calculating the relative posture of the guide tool based on the set origin posture in the second spatial coordinate system by the posture tracking application; and tracking, by the posture tracking application, the guide tool based on the 1-2 guide tool relative posture in the second image. can

In another aspect, the processor of the server system operates the mixed reality application in the first image obtained by the first wearable type computing device capturing the target object and the first guide tool with the first image sensor, so that the mixed reality application is displayed in the first image. A posture estimation method for tracking an object captured by a camera that tracks a guide tool and provides a mixed reality environment, wherein the mixed reality application obtains an internal parameter and a posture of the first image sensor by calibrating the first image sensor to do; receiving, by the mixed reality application, a first image captured by the first image sensor; setting, by the mixed reality application, a first spatial coordinate system with respect to the target object in the first image; estimating, by the mixed reality application, a first target relative posture by calculating a relative posture with respect to the target object based on the first spatial coordinate system; converting the first image sensor posture so that the mixed reality application sets the target relative posture as an origin posture with respect to the first image sensor posture to obtain a first image sensor conversion posture; and estimating, by the mixed reality application, the relative posture of the first guide tool by calculating the relative posture of the first guide tool based on the set origin posture in the first spatial coordinate system. It is possible to provide a posture estimation method for

In another aspect, the method comprising: tracking, by the mixed reality application, the first guide tool based on the estimated first guide tool relative posture; generating, by the mixed reality application, first virtual content corresponding to the target object, and generating second virtual content corresponding to the tracked first guide tool; and the mixed reality application augments the first virtual content on the target object based on the origin posture of the target object in the first image, and the first guide tool based on the first guide tool relative posture It is possible to provide a posture estimation method for tracking an object captured by a camera further comprising; providing a mixed reality environment by augmenting the second virtual content.

In another aspect, the second wearable type computing device acquires a second image by photographing the target object, the first guide tool, and the second guide tool with a second image sensor, and the mixed reality application calibrates the second image sensor to obtain an internal parameter and a posture of the second image sensor; receiving, by the mixed reality application, a second image captured by the second image sensor; setting, by the mixed reality application, a second spatial coordinate system with respect to the target object in the second image; estimating, by the mixed reality application, a second target relative posture by calculating a relative posture with respect to the target object based on the second spatial coordinate system; converting the second image sensor posture so that the mixed reality application sets the second target relative posture as the origin posture with respect to the second image sensor posture to obtain a second image sensor conversion posture; The mixed reality application calculates the relative posture of the second guide tool based on the set origin posture in the second spatial coordinate system to estimate the second guide tool relative posture, and to the set origin posture in the second spatial coordinate system. estimating the relative posture of the first guide tool by calculating the relative posture of the first guide tool based on the first; the mixed reality application, in the second image, tracks the second guide tool based on the second estimated guide tool relative posture, and tracks the first guide tool based on the 1-2 estimated guide tool relative posture tracking guide tool; generating, by the mixed reality application, third virtual content corresponding to the tracked second guide tool; and the mixed reality application augments the first virtual content on the target object based on the origin posture of the target object in the second image, and the second guide tool based on the second guide tool relative posture and providing a mixed reality environment by augmenting the third virtual content in the , and augmenting the second virtual content to the first guide tool based on the relative posture of the 1-2 guide tool. It is possible to provide a posture estimation method for tracking a photographed object.

The posture estimation method and system for tracking an object photographed with a camera according to an embodiment of the present invention can accurately estimate the posture of the object while simplifying the posture estimation procedure of the object by transforming the origin for posture estimation.

In addition, the posture estimation method and system for tracking an object photographed by a camera can quickly and accurately estimate a posture of a real object even when the camera moves in real time.

In addition, the posture estimation method and system for tracking an object photographed by a camera can quickly and accurately estimate postures of a plurality of real objects even when the camera moves in real time.

In addition, the posture estimation method and system for tracking an object photographed by a camera can quickly and accurately estimate the posture of a plurality of real objects even when a plurality of cameras move in real time.

In addition, the posture estimation method and system for tracking an object captured by a camera may provide a mixed reality environment in which virtual content is augmented on a plurality of real objects and interaction between the augmented real objects even when the camera moves in real time.

In addition, the posture estimation method and system for tracking an object photographed by a camera allows a plurality of users who wear an augmented reality providing device equipped with a camera in an adjacent environment to simultaneously work on one augmented work target. .

1 is a conceptual diagram of a posture estimation system for tracking an object photographed by a camera according to an embodiment of the present invention.
2 is an internal block diagram of a wearable wearable type computing device according to an embodiment of the present invention.
3 is a flowchart illustrating a posture estimation method for tracking an object photographed by a camera according to an embodiment of the present invention.
FIG. 4 is an exemplary diagram for explaining a relative switching relationship for each configuration according to the acquisition of posture information for each configuration of FIGS. 3 and 5 and the change of the origin.
FIG. 5 is a flowchart for further explaining a posture estimation method for tracking an object captured by the added camera when a camera is added in the posture estimation method for tracking of FIG. 3 .
6 is an exemplary diagram for explaining a method for providing a mixed reality environment using a posture estimation method for tracking an object photographed by a camera according to an embodiment of the present invention.
7 is an exemplary diagram illustrating a state in which a mixed reality environment service for a medical surgery site is provided by using the mixed reality environment providing method of FIG. 6 .
FIG. 8 is an exemplary diagram for explaining a method of providing a mixed reality environment to a plurality of users when a user receiving a mixed reality environment is added in the mixed reality environment providing method of FIG. 6 .
9 is an exemplary diagram illustrating a state in which a mixed reality environment service is provided to a plurality of users related to a medical surgery site by using the mixed reality environment providing method of FIG. 8 .

본 발명은 다양한 변환을 가할 수 있고 여러 가지 실시예를 가질 수 있는 바, 특정 실시예들을 도면에 예시하고 상세한 설명에 상세하게 설명하고자 한다. 본 발명의 효과 및 특징, 그리고 그것들을 달성하는 방법은 도면과 함께 상세하게 후술되어 있는 실시예들을 참조하면 명확해질 것이다. 그러나 본 발명은 이하에서 개시되는 실시예들에 한정되는 것이 아니라 다양한 형태로 구현될 수 있다. 이하의 실시예에서, 제1, 제2 등의 용어는 한정적인 의미가 아니라 하나의 구성 요소를 다른 구성 요소와 구별하는 목적으로 사용되었다. 또한, 단수의 표현은 문맥상 명백하게 다르게 뜻하지 않는 한, 복수의 표현을 포함한다. 또한, 포함하다 또는 가지다 등의 용어는 명세서상에 기재된 특징, 또는 구성요소가 존재함을 의미하는 것이고, 하나 이상의 다른 특징들 또는 구성요소가 부가될 가능성을 미리 배제하는 것은 아니다. 또한, 도면에서는 설명의 편의를 위하여 구성 요소들이 그 크기가 과장 또는 축소될 수 있다. 예컨대, 도면에서 나타난 각 구성의 크기 및 두께는 설명의 편의를 위해 임의로 나타내었으므로, 본 발명이 반드시 도시된 바에 한정되지 않는다.

Since the present invention can apply various transformations and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. Effects and features of the present invention, and a method of achieving them, will become apparent with reference to the embodiments described below in detail in conjunction with the drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various forms. In the following embodiments, terms such as first, second, etc. are used for the purpose of distinguishing one component from another, not in a limiting sense. Also, the singular expression includes the plural expression unless the context clearly dictates otherwise. In addition, terms such as include or have means that the features or components described in the specification are present, and do not preclude the possibility that one or more other features or components will be added. In addition, in the drawings, the size of the components may be exaggerated or reduced for convenience of description. For example, since the size and thickness of each component shown in the drawings are arbitrarily indicated for convenience of description, the present invention is not necessarily limited to the illustrated bar.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, and when described with reference to the drawings, the same or corresponding components are given the same reference numerals, and the overlapping description thereof will be omitted. .

According to the present invention, the camera can estimate the posture of the real object by not using the camera as the origin, but by using the posture of one fixed real object as the origin. In this case, posture is a term that includes 6 degrees of freedom and position. By using the posture estimation method, the present invention can quickly and accurately estimate the posture of one or more real objects even when the camera moves in real time, and furthermore, can quickly and accurately estimate postures of a plurality of real objects photographed by a plurality of cameras in the same way and can be estimated accurately. In addition, by using the posture estimation method, the present invention can provide a mixed reality environment in which a plurality of virtual contents are augmented to a plurality of real objects and the interrelationship of the plurality of virtual contents is reflected in real time. Furthermore, the present invention can provide a mixed reality environment reflecting the interrelationship of a plurality of virtual contents in real time at the same work or learning place to a plurality of users.

Hereinafter, a detailed configuration of a posture estimation system for tracking an object photographed with such a camera will be described in detail.

<Position estimation system for tracking objects captured by the camera>

1 is a conceptual diagram of a posture estimation system for tracking an object captured by a camera according to an embodiment of the present invention, and FIG. 2 is an internal block diagram of a wearable type computing device according to an embodiment of the present invention.

Referring to FIG. 1 , a posture estimation system for tracking an object captured by a camera according to an embodiment of the present invention includes one or more wearable type computing devices 100 and 101 , a server system 200 , a target object 300 and A guide tool 400 may be included.

One or more wearable type computing devices 100 and 101 and the server system 200 among the components of FIG. 1 may be connected through a network. The network refers to a connection structure capable of exchanging information between each node, such as a computing device and the data relay server system 500 , and an example of such a network includes a 3rd Generation Partnership Project (3GPP) network, Long Term Evolution (LTE), and the like. ) network, WIMAX (World Interoperability for Microwave Access) network, Internet (Internet), LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth ( Bluetooth)

networks, satellite broadcast networks, analog broadcast networks, Digital Multimedia Broadcasting (DMB) networks, and the like are included, but are not limited thereto.

<Server system 200>

In an embodiment, the server system 200 may perform a series of processes for estimating the posture of an object in an image captured by an image sensor. As will be described later, the image sensor may be a camera capable of acquiring an image by photographing an object.

The server system 200 according to the embodiment may include a data relay server 210 , a processor 220 , a virtual content database 230 , and a spatial information database 240 .

The data relay server 210 may include a communication facility for relaying data, and may relay communication data to/from the wearable type computing device 100 through a wired/wireless communication network.

The processor 220 may perform data processing for a series of operations to be described later by controlling the exclusive operation of each device. These data processors 11 are ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), controllers (controllers), It may be micro-controllers, microprocessors, or any other type of processor for performing other functions. In particular, the processor 220 may perform a series of processes for estimating the posture of a real object in an image captured by the image sensor of the wearable type computing device 100 . A series of processes for estimating the posture of the real object follows the description of a posture estimation method for tracking an object captured by a camera, which will be described later. Also, the processor 200 may perform a series of processes for providing a mixed reality environment in which virtual content is augmented to a real object based on the estimated posture of the real object. A series of processes for providing such a mixed reality environment follows the description of a method for providing a mixed reality environment using a posture estimation method for tracking an object captured by a camera.

Virtual content data for implementing an augmented reality environment or a mixed reality environment may be stored in the virtual content database 230 . The virtual content database 230 may store the virtual content as virtual content by matching the virtual content with a real object (eg, a marker) or spatial coordinates. In addition, the virtual content database 230 may serve as a virtual content source that delivers virtual content matched to the surrounding physical space of the wearable-type computing device 100 upon request of the wearable-type computing device 100 .

The spatial information database 230 may store information data on the physical space by scanning the physical space of a specific area or performing 3D space modeling. In addition, characteristic information obtained by image-learning a real object, a marker, etc. in a physical space may be further stored, and the characteristic information may be matched with spatial information and stored. That is, the server system 200 transmits the virtual content data and spatial information data for the surrounding physical space of the wearable type computing device 100 together, and creates a mixed reality environment through the wearable type computing device 100 , 101 . can provide

The memory 250 may store instructions for operating the data relay server 210 , the processor 220 , the virtual contents database 230 , and the spatial information database 240 . In addition, the memory 250 provides a posture tracking application including instructions operating as a series of processes for estimating a posture of a real object or a mixed reality environment for augmenting virtual content on a real object based on the estimated posture of the real object It is possible to store a mixed reality application including instructions that operate as a series of processes. In the memory 250, these instructions cause the processor 220 to perform operations. In addition, in terms of hardware, the memory 250 may be various storage devices such as ROM, RAM, EPROM, flash drive, hard drive, etc., and the memory 250 performs the storage function of the memory 13 on the Internet. It may be a web storage that performs.

<Wearable type computing device (100, 101)>

The wearable-type computing devices 100 and 101 may include a smart glasses display 100 or a head mounted display (HMD) 101 . For convenience of description, the wearable type computing devices 100 and 101 will be described as smart glasses 100 .

The wearable type computing device 100 includes a display system including glasses for displaying virtual content (eg, virtual object image) on the user's field of vision while transmitting light so that the user can see the surrounding physical space while being worn. can do.

In detail, the wearable type computing device 100 of the embodiment is a transparent glass display that transmits light from the surrounding physical space to reach the user's eye, and at the same time reflects the virtual content displayed by the display system toward the user's eye. may include.

Referring to FIG. 2 , the wearable type computing device 100 according to an exemplary implementation includes a memory 110 including a mixed reality application 111 , a processor assembly 120 , a communication module 130 , and an interface module 140 . ), an input system 150 , a sensor system 160 , and a display system 170 . In addition, the components may be implemented to be included in the housing of the wearable type computing device 100 . Also, in the wearable type computing device 100 , an additional image sensor 161 - 2 may be mounted in addition to the housing.

The additional image sensor 161 - 2 may be configured to be detachable from the wearable type computing device 100 .

The memory 110 stores a mixed reality application 111 , and the mixed reality application 111 may include virtual content for providing a mixed reality environment, an image buffer, a location engine, a virtual content display engine, and the like. That is, the memory 110 may store instructions and data that may be used to create a mixed reality environment.

In addition, the memory 110 may include at least one or more non-transitory computer-readable storage media and a temporary computer-readable storage medium. For example, the memory 110 may be various storage devices such as ROM, EPROM, flash drive, hard drive, and the like, and web storage that performs a storage function of the memory 110 on the Internet. may include.

The processor assembly 120 may include at least one processor capable of executing instructions of the mixed reality application 111 stored in the memory 110 to perform various tasks for creating a mixed reality environment.

In an embodiment, the processor assembly 120 may control overall operations of components through the mixed reality application 111 of the memory 110 in order to provide a mixed reality service.

For example, the processor assembly 120 may recognize a real object from an image acquired based on the image sensor 161 , and generate and display an augmented reality image in which virtual content is matched to the recognized real object. It is possible to control components of the type computing device 100 .

The processor assembly 120 may include a central processing unit (CPU) and/or a graphics processor unit (GPU). In addition, the processor assembly 120, ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), controllers (controllers) ), micro-controllers, microprocessors, and other electrical units for performing other functions.

The communication module 130 may include one or more devices for communicating with the server system 200 . The communication module 130 may communicate through a wireless network.

In detail, the communication module 130 may communicate with the server system 200 storing a virtual content source for implementing a mixed reality environment, and may communicate with various user input components such as a controller that receives a user input.

Such a communication module 130, the technical standards or communication methods for mobile communication (eg, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), 5G NR (New Radio), WIFI) Alternatively, data may be wirelessly transmitted/received with at least one of a base station, an external terminal, and an arbitrary server on a mobile communication network constructed through a communication device capable of performing a short-range communication method or the like.

The sensor system 160 may include various sensors, such as an image sensor 161 , a position sensor (IMU) 163 , an audio sensor, a distance sensor, a proximity sensor, and a contact sensor.

The image sensor 161 may capture an image and/or an image of a physical space around the wearable type computing device 100 .

In an embodiment, the image sensor 161 may capture and acquire an image related to estimating a posture of a real object or providing a mixed reality environment.

In addition, the image sensor 161 is disposed on the front and/or rear side of the wearable type computing device 100 and may acquire an image by photographing the disposed direction side, and faces the outside of the wearable type computing device 100 . The placed camera can film a physical space such as a job site.

The image sensor 161 may include an image sensor 161 and an image processing module. Specifically, the image sensor 161 may process a still image or a moving image obtained by the image sensor 161 (eg, CMOS or CCD).

In addition, the image sensor 161 may process a still image or a moving image obtained through the image sensor 161 using an image processing module to extract necessary information, and transmit the extracted information to the processor.

The image sensor 161 may be a camera assembly including at least one camera. The camera assembly may include a general camera that captures a visible light band, and may further include a special camera such as an infrared camera or a stereo camera. In particular, in the wearable type computing device 100 , the additional image sensor 161 - 2 may be mounted outside the housing by a separate mounting mechanism. The additional image sensor 161 - 2 may be electrically connected to the wearable type computing device 100 through the interface module 140 . In this case, the wearable type computing device 100 operates like a stereo camera using the image sensor 161 disposed in the housing and the additional image sensor 161-2 disposed outside the housing to capture a depth image of the physical space. have. When using the acquired depth image, the server system 200 can precisely measure the distance of the real object, so that the posture of the real object can be accurately estimated, and virtual content augmentation for providing a mixed reality environment can be performed more precisely. can

The IMU 163 may sense at least one of a motion and an acceleration of the wearable type computing device 100 . For example, it may consist of a combination of various position sensors such as an accelerometer, a gyroscope, and a magnetometer. In addition, by interworking with the location communication module 130 such as GPS of the communication module 130 , spatial information about the physical space around the wearable type computing device 100 may be recognized.

Also, the IMU 163 may detect information for detecting and tracking the user's gaze direction and head movement based on the detected position and direction.

Additionally, in some implementations, the mixed reality application 111 may use such an IMU 163 and image sensor 161 to determine the location and orientation of a user within the physical space or to recognize a feature or object within the physical space. .

The audio sensor 165 may recognize a sound around the wearable type computing device 100 .

In detail, the audio sensor 165 may include a microphone capable of detecting a user's voice input of the wearable type computing device 100 .

In an embodiment, the audio sensor 165 may receive voice data of communication data to be transmitted through the extended reality communication service from the user.

The interface module 140 may communicatively connect the wearable type computing device 100 with one or more other devices. Specifically, the interface module 140 may include wired and/or wireless communication devices that are compatible with one or more different communication protocols. The wearable type computing device 100 may be connected to various input/output devices through the interface module 140 . For example, the interface module 140 may be connected to an audio output device such as a headset port or a speaker to output audio. Although it has been described that the audio output device is connected through the interface module 140 by way of example, an embodiment in which the audio output device is installed inside the wearable type computing device 100 may also be included. The interface module 140 is a device equipped with a wired/wireless headset port, an external charger port, a wired/wireless data port, a memory 110 card port, and an identification module. port to connect to, audio I/O (Input/Output) port, video I/O (Input/Output) port, earphone port, power amplifier, RF circuit, transceiver and It may be configured to include at least one of other communication circuits.

Input system 150 may detect a user's input (eg, a gesture, voice command, actuation of a button, or other type of input) associated with the mixed reality environment.

Specifically, the input system 150 may include a button, a touch sensor, and an image sensor 161 that receives user motion input.

Also, the input system 150 may be connected to an external controller through the interface module 140 to receive a user's input.

The display system 170 transmits light from the physical space surrounding the wearable type computing device 100 to reach the user's eyes, and at the same time reflects the virtual content displayed by the display system 170 toward the user's eyes. It may include a transparent glass display.

The display system 170 may include a left display 171 corresponding to the left eye of the user wearing the wearable computing device 100 and a right display 172 corresponding to the right eye of the user wearing the wearable computing device 100 , and the left display 171 . and the right display 172 outputs different images with an offset to the parallax as virtual content, so that the user can recognize the virtual content as a 3D image.

In an embodiment, the display system 170 may output various information related to the mixed reality environment service as a graphic image.

Such displays include a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display. , a three-dimensional display (3D display), may include at least one of an electronic ink display (e-ink display).

The wearable type computing device 100 may be advantageous for use by field workers located in a physical space such as a work site.

< target object 300 >

The target object 300 may be a fixed real object. In the mixed reality environment, the target object 300 may be augmented with virtual content that is a work target for a user wearing the wearable type computing device 100 . For example, if the mixed reality environment is a medical surgery environment, the virtual content augmented on the target object 300 may be a surgical site of a patient to be operated on. As another example, if the mixed reality environment is a welding work environment, the virtual content augmented on the target object 300 may be an object to be welded. However, although not limited to the above-described example, the effect of the embodiment may be maximized in an environment that requires precise interaction between the target, the guide tool, and the augmented content, such as a medical environment.

The wearable type computing device 100 may receive the virtual content matched to the target object 300 from the server system 200 and output it as augmented reality through a display. In general, in order to augment the virtual content matched to the posture of the target object 300 in the image captured by the image sensor 161 , it is necessary to know the posture of the target object 300 in advance. Here, the posture includes a reference point position with respect to the object and 6 degrees of freedom. The reference point position may be a coordinate of the reference point in a three-dimensional space. The reference point of the target object 300 means at least one or more points on the target object 300 as a reference for estimating the posture of the target object 300 . This reference point may be used as a reference parameter for augmenting virtual content matched to the target object 300 when implementing augmented reality based on the target object 300 . The six degrees of freedom of the target object 300 may be posture estimation information obtained by measuring six rotational and translational motion elements of the target object 300 moving based on a reference point in a three-dimensional space. In detail, 6 degrees of freedom are, in a three-dimensional Cartesian coordinate system, left and right rotation around the X axis (roll), forward and backward rotation around the Y axis (pitch), and up and down rotation around the Z axis (yaw) motion and forward/back, surge , left/right (　sway), and up/down (　heave) may be information obtained by measuring values for translational motion. In general, in order to obtain the above posture information of the target object 300, a method using a marker (not shown) matching the target object 300 is used. Here, the marker may mean a medium that indicates the existence, location, and/or personality of a matching object. The present invention is not limited thereto, and in order to obtain the posture information of the target object 300 , a method of learning an image of the target object shape itself using a deep learning model may be used.

<Guide Tool (400)>

The guide tool 400 may be an actual object that a user can move. In the mixed reality environment, in the guide tool 400 , virtual content through which the user wearing the wearable type computing device 100 can interact with the virtual content to be worked may be augmented. For example, if the mixed reality environment is a medical surgical environment, the virtual content augmented in the guide tool 400 may include surgical tools (scalpel, blade, forceps, gripper, scissors, stapler, blood vessel sealer, biopsy tool, suture tool, or clip applier, etc.). As another example, if the mixed reality environment is a welding work environment, the virtual content augmented in the guide tool 400 may be a welding machine. However, it is not limited to the above-described examples.

The wearable type computing device 100 may receive the virtual content matched with the guide tool 400 from the server system 200 and output it as augmented reality through a display. In general, in order to augment the virtual content matched to the posture of the guide tool 400 in the image captured by the image sensor 161 , it is necessary to know the posture of the guide tool 400 in advance. The position of the reference point of the guide tool 400 may be coordinates of the reference point in a three-dimensional space. The six degrees of freedom of the guide tool 400 may be posture estimation information obtained by measuring six rotational and translational motion elements of the guide tool 400 moving based on a reference point in a three-dimensional space. Like the target object 300 , in order to acquire posture information of the guide tool 400 , a method of using a marker matching the guide tool 400 is used. The present invention is not limited thereto, and in order to obtain the posture information of the guide tool 400 , a method of learning an image of the target object shape itself using a deep learning model may be used.

<Position estimation method for tracking objects captured by the camera>

3 is a flowchart for explaining a posture estimation method for tracking an object photographed with a camera according to an embodiment of the present invention, and FIG. 4 is each according to obtaining posture information and changing the origin for each configuration of FIGS. 3 and 5 It is an exemplary diagram for explaining a relative conversion relationship with respect to a configuration.

In the posture estimation method for tracking an object photographed by a camera according to an embodiment of the present invention, the first image sensor 161 of the first wearable type computing device 100 uses the guide tool 400 and the target object 300 . The processor 220 of the server system 200 operates the posture tracking application stored in the memory 250 in the first image obtained by photographing, and the posture tracking application may track the guide tool 400 .

3 and 4 , in the posture estimation method for tracking an object photographed by a camera according to an embodiment of the present invention, the posture tracking application calibrates the first image sensor View1 to obtain the first image sensor View1 It may include a step (S301) of obtaining the internal parameter (K1) and the posture (P1) of (S301). More specifically, the first image sensor posture P1 may be the origin in the image of the space captured by the first image sensor View1.

In addition, the posture estimation method for tracking an object photographed with a camera according to an embodiment of the present invention may include the step (S302) of the posture tracking application receiving the first image captured by the first image sensor (View1). have. That is, the first wearable type computing device 100 may transmit the first image captured by the first image sensor View1 to the server system 200 .

In addition, the posture estimation method for tracking an object photographed by a camera according to an embodiment of the present invention includes the step (S303) of the posture tracking application setting a first spatial coordinate system with respect to the target object 300 in the first image. can do. The first spatial coordinate system may be a coordinate system for a three-dimensional space imaged through the first image sensor View1.

)하여 제1 타겟 상대 자세(P2)를 추정하는 단계(S304)를 포함할 수 있다. 보다 구체적으로, 서버 시스템(200)은, 피앤피(Perspective-n-Point, PnP) 및/또는 호모그래피(Homography) 알고리즘 등에 기초한 자세 추정 기법을 적용하여 제1 타겟 상대 자세(P2)를 획득할 수 있다. 제1 타겟 상대 자세(P2)는 제1 이미지 센서(View1)에 대한 상대적인 6자유도(R2)와 기준 포인트의 위치(t2)일 수 있다. 이때 6자유도는 3X3 행렬로 표현되고, 위치는 3X1 벡터로 표현되므로, 제1 타겟 상대 자세(P2)은 수학식 1을 따를 수 있다.In addition, in the posture estimation method for tracking an object photographed with a camera according to an embodiment of the present invention, the posture tracking application calculates a relative posture with respect to the target object 300 based on the first spatial coordinate system (

) and estimating the first target relative posture P2 ( S304 ). More specifically, the server system 200 may obtain the first target relative posture P2 by applying a posture estimation technique based on a perspective-n-point (PnP) and/or a homography algorithm. have. The first target relative posture P2 may be six degrees of freedom R2 relative to the first image sensor View1 and the position t2 of the reference point. At this time, since the 6 degrees of freedom is represented by a 3X3 matrix and the position is represented by a 3X1 vector, the first target relative posture P2 may follow Equation 1 .

[Equation 1]

)하여 제1 이미지 센서 변환 자세(P1)를 획득하는 단계(S305)를 포함할 수 있다. 보다 구체적으로, 즉, 제1 타겟 상대 자세(P2)는 원점이 된다. 제1 이미지 센서 변환 자세(P1)는 제1 타겟 상대 자세(P2)을 역변환한 수학식 2를 따를 수 있다.In addition, in the posture estimation method for tracking an object photographed with a camera according to an embodiment of the present invention, the posture tracking application sets the first target relative posture P2 as the origin posture with respect to the first image sensor posture P1. Convert the first image sensor attitude (P1) (

) to obtain the first image sensor transformation posture P1 (S305). More specifically, that is, the first target relative posture P2 becomes the origin. The first image sensor transformation posture P1 may follow Equation 2 obtained by inverse transformation of the first target relative posture P2 .

[Equation 2]

)하여 가이드 도구 상대 자세(P3)를 추정하는 단계(S306)를 포함할 수 있다. 보다 구체적으로, 서버 시스템(200)은, 피앤피(Perspective-n-Point, PnP) 및/또는 호모그래피(Homography) 알고리즘 등에 기초한 자세 추정 기법을 적용하여 가이드 도구 상대 자세(P3)를 획득할 수 있다. 가이드 도구 상대 자세(P3)는 제1 타겟 상대 자세(P2)에 대한 상대적인 6자유도(R3)와 기준 포인트의 위치(t3)일 수 있다. 만약, 이미지 센서(View1)를 원점으로 하여 타겟 객체(300)와 가이드 도구(400)의 상대적인 자세를 계산 할 경우, 이미지 센서(View1)가 움직이면 원점이 변경되어 다시 새롭게 타겟 객체(300)와 가이드 도구(400)의 상대적인 자세를 계산하여야 해서 계산량이 증가하는 문제가 있다. 본 발명은 고정된 물체인 타겟 객체(300)를 원점으로 하기 때문에 이미지 센서(View1)가 움직이 더라도 원점의 변경이 없으므로 움직이는 가이드 도구(400)와 타겟 객체(300)의 상대적인 자세를 신속하고 정확하게 계산할 수 있다.In addition, in the posture estimation method for tracking an object photographed by a camera according to an embodiment of the present invention, the posture tracking application calculates the relative posture of the guide tool 400 based on the origin posture set in the first spatial coordinate system (

) to estimate the guide tool relative posture (P3) (S306). More specifically, the server system 200 may obtain the guide tool relative posture P3 by applying a posture estimation technique based on a perspective-n-point (PnP) and/or a homography algorithm. . The guide tool relative posture P3 may be six degrees of freedom R3 relative to the first target relative posture P2 and the position t3 of the reference point. If the relative postures of the target object 300 and the guide tool 400 are calculated using the image sensor View1 as the origin, the origin is changed when the image sensor View1 moves and the target object 300 and the guide tool 400 are newly moved. Since the relative posture of the tool 400 needs to be calculated, there is a problem in that the amount of calculation is increased. Since the present invention uses the target object 300, which is a fixed object, as the origin, there is no change in the origin even if the image sensor View1 moves, so the relative postures of the moving guide tool 400 and the target object 300 are quickly and accurately determined. can be calculated

In addition, the posture estimation method for tracking an object photographed with a camera according to an embodiment of the present invention may include the step (S307) of tracking the guide tool based on the guide tool relative posture P3 estimated by the posture tracking application. can

The above-described posture estimation method for tracking an object photographed by a camera according to an embodiment of the present invention can accurately estimate the posture of the object while simplifying the posture estimation procedure of the object by transforming the origin for posture estimation. In addition, the posture estimation method for tracking an object photographed by a camera of the present invention can quickly and accurately estimate the posture of a real object even when the camera moves in real time. In addition, the posture estimation method for tracking an object photographed by a camera of the present invention can quickly and accurately estimate the posture of a plurality of real objects even when the camera moves in real time.

FIG. 5 is a flowchart for further explaining a posture estimation method for tracking an object captured by the added camera when a camera is added in the posture estimation method for tracking of FIG. 3 .

In the posture estimation method for tracking an object photographed by a camera according to an embodiment of the present invention, a second image sensor of a separate second wearable type computing device 100 in the same environment as the first wearable type computing device 100 . The processor 220 of the server system 200 operates the posture tracking application stored in the memory 250 in the second image obtained by photographing the guide tool 400 and the target object 300 with the same guide tool 400 and posture A tracking application may track the guide tool 400 .

3 and 5 , in the posture estimation method for tracking an object photographed with a camera according to an embodiment of the present invention, the posture tracking application calibrates the second image sensor View2, respectively, and the inside of the second image sensor and obtaining the parameter K2 and the posture P4 ( S308 ). More specifically, the second image sensor posture P4 may be the origin in the image of the space captured by the second image sensor View2.

In addition, the posture estimation method for tracking an object photographed with a camera according to an embodiment of the present invention may include the step (S309) of the posture tracking application receiving a second image captured by the second image sensor (View2). have. That is, the second wearable type computing device 100 may transmit the second image captured by the second image sensor View2 to the server system 200 .

In addition, the posture estimation method for tracking an object captured by a camera according to an embodiment of the present invention may include the step (S310) of the posture tracking application setting a second spatial coordinate system with respect to the target object in the second image. . The second spatial coordinate system may be a coordinate system for a three-dimensional space imaged through the second image sensor View2.

)를 계산하여 제2 타겟 상대 자세(P2-2)를 추정하는 단계(S311)를 포함할 수 있다. 보다 구체적으로, 서버 시스템(200)은, 피앤피(Perspective-n-Point, PnP) 및/또는 호모그래피(Homography) 알고리즘 등에 기초한 자세 추정 기법을 적용하여 제2 타겟 상대 자세(P2-2)를 획득할 수 있다. 제2 타겟 상대 자세(P2-2)는 제2 이미지 센서(View2)에 대한 상대적인 6자유도(R2-2)와 기준 포인트의 위치(t2-2)일 수 있다. 이때 6자유도는 3X3 행렬로 표현되고, 위치는 3X1 벡터로 표현되므로, 제2 타겟 상대 자세(P2-2)은 수학식 3을 따를 수 있다.In addition, in the posture estimation method for tracking an object photographed with a camera according to an embodiment of the present invention, the posture tracking application is a relative posture with respect to the target object 300 based on the second spatial coordinate system (

) and estimating the second target relative posture P2-2 (S311). More specifically, the server system 200 obtains the second target relative posture P2-2 by applying a posture estimation technique based on a perspective-n-point (PnP) and/or a homography algorithm. can do. The second target relative posture P2 - 2 may be 6 degrees of freedom R2 - 2 relative to the second image sensor View2 and a position t2 - 2 of the reference point. In this case, since the 6 degrees of freedom is represented by a 3X3 matrix and the position is represented by a 3X1 vector, the second target relative posture P2-2 may follow Equation (3).

[Equation 3]

)하여 제2 이미지 센서 변환 자세(P4)를 획득하는 단계(S312)를 포함할 수 있다. 보다 구체적으로, 제2 이미지 센서 변환 자세(P4)는 제2 타겟 상대 자세(P2-2)을 역변환한 수학식 4를 따를 수 있다.In addition, in the posture estimation method for tracking an object photographed by a camera according to an embodiment of the present invention, the posture tracking application sets the second target relative posture P2-2 in the second spatial coordinate system to the second image sensor posture P4. Convert the second image sensor posture to set as the origin posture for

) to obtain a second image sensor conversion posture P4 ( S312 ). More specifically, the second image sensor transformation posture P4 may follow Equation 4 obtained by inversely transforming the second target relative posture P2-2.

[Equation 4]

In addition, in the posture estimation method for tracking an object photographed with a camera according to an embodiment of the present invention, the posture tracking application calculates the relative posture of the guide tool based on the origin posture set in the second spatial coordinate system to guide the first 1-2 The method may include estimating the tool relative posture P3 - 2 ( S313 ). More specifically, the server system 200 applies a posture estimation technique based on a perspective-n-point (PnP) and/or a homography algorithm, and the like to apply the first-second guide tool relative posture P3-2. ) can be obtained. The second guide tool relative posture P3 - 2 may be 6 degrees of freedom R3 - 2 relative to the second target relative posture P2 - 2 and a position t3 - 2 of the reference point.

At this time, in order for the user wearing the first wearable type computing device and the user wearing the second wearable type computing device to recognize the same target object and the guide tool in the same posture, it is necessary to accurately grasp the relative rotation and movement information between all viewpoints. do. If the server system 200 calculates the relative postures of the target object 300 and the guide tool 400 with each of the first image sensor View1 and the second image sensor View2 as the origin, the guide tool 400 ), the first image sensor (View1) and the second image sensor (View2) both move to change the origin, so the calculation of accurately grasping the relative rotation and movement information between all viewpoints is complicated and the amount of calculation is increased. In the present invention, since the server system 200 uses the target object as the origin, even if the guide tool 400, the first image sensor View1 and the second image sensor View2 all move, the origin does not change, so the target object The relative posture of 300 and the guide tool 400 can be quickly and accurately calculated.

In addition, in the posture estimation method for tracking an object photographed with a camera according to an embodiment of the present invention, the posture tracking application guides the second image based on the 1-2 guide tool relative posture P3-2. and tracking the tool 400 ( S314 ).

Accordingly, the posture estimation method for tracking an object photographed by a camera of the present invention can quickly and accurately estimate the posture of a plurality of real objects even when a plurality of cameras move in real time.

6 is an exemplary diagram for explaining a method for providing a mixed reality environment using a posture estimation method for tracking an object captured by a camera according to an embodiment of the present invention, and FIG. 7 is a method for providing a mixed reality environment using the method of FIG. It is an example diagram of providing a mixed reality environment service for a medical surgery site.

In the method for providing a mixed reality environment according to an embodiment of the present invention, the first wearable type computing device 100 acquires the target object 300 and the first guide tool 400 by photographing the first image sensor 161 . In the first image, the processor 220 of the server system 200 operates the mixed reality application so that the mixed reality application tracks the first guide tool 400a and provides a mixed reality environment. In the following description, the same content as the description of the posture estimation method for tracking an object photographed by a camera according to an embodiment of the present invention of FIGS. 3 to 5 will be omitted.

6 and 7 , in a method for providing a mixed reality environment according to an embodiment of the present invention, the mixed reality application includes the steps of calibrating a first image sensor to obtain an internal parameter and a posture P5 of the first image sensor (S601) may be included.

Also, the method for providing a mixed reality environment according to an embodiment of the present invention may include receiving a first image captured by the mixed reality application from the first image sensor ( S602 ).

Also, the method for providing a mixed reality environment according to an embodiment of the present invention may include setting, by the mixed reality application, a first spatial coordinate system with respect to a target object in a first image ( S603 ).

)하여 제1 타겟 상대 자세(P7)를 추정하는 단계(S604)를 포함할 수 있다.In addition, in the method for providing a mixed reality environment according to an embodiment of the present invention, the mixed reality application calculates a position relative to the target object based on the first spatial coordinate system (

) and estimating the first target relative posture P7 ( S604 ).

)하여 제1 이미지 센서 변환 자세(P5)를 획득하는 단계(S605)를 포함할 수 있다. 즉, 타겟 상대 자세(P7)는 원점이 된다.In addition, in the method for providing a mixed reality environment according to an embodiment of the present invention, the mixed reality application sets the target relative posture P7 as the origin posture with respect to the first image sensor posture P5 so that the first image sensor posture P5 is performed. convert (

) to obtain the first image sensor conversion posture P5 ( S605 ). That is, the target relative posture P7 becomes the origin.

)하여 제1 가이드 도구 상대 자세(P6)를 추정하는 단계(S606)를 포함할 수 있다.In addition, in the method for providing a mixed reality environment according to an embodiment of the present invention, the mixed reality application calculates the relative posture of the first guide tool based on the origin posture set in the first spatial coordinate system (

) to estimate the first guide tool relative posture (P6) (S606).

In addition, the method for providing a mixed reality environment according to an embodiment of the present invention may include the step of tracking the first guide tool based on the estimated first guide tool relative posture P6 by the mixed reality application ( S607 ). .

In addition, the method for providing a mixed reality environment according to an embodiment of the present invention includes the steps of, in a mixed reality application, generating first virtual content corresponding to a target object, and generating second virtual content corresponding to the tracked first guide tool ( S608) may be included. For example, as shown in FIG. 7 , when the mixed reality environment is a medical surgery site, the server system 200 may generate the first virtual content with a scalpel in response to the first guide tool 400 , and the target object 300 ), the second virtual content may be generated as a surgical site.

In addition, in the method for providing a mixed reality environment according to an embodiment of the present invention, the mixed reality application augments the first virtual content in the target object based on the origin posture of the target object in the first image, and the first guide tool opponent The method may include providing a mixed reality environment by augmenting the second virtual content to the first guide tool based on the posture (S609). For example, as shown in FIG. 7 , when the mixed reality environment is a medical surgery site, the server system 200 provides the first virtual content scalpel to the first guide tool 400 to match the first guide tool relative posture P6. can be augmented In addition, the server system 200 may augment the open appearance of the second virtual content according to the origin posture of the target object 300 . In addition, when the first guide tool 400 performs an incision operation adjacent to the target object 300 , the subsystem 200 causes the scalpel, which is the first virtual content, to act on the surgical site, which is the second virtual content, to operate the surgical site. The second virtual content may be transformed into a cut-out shape.

As described above, the present invention can be applied to content in a work environment that requires real-time interaction between virtual content because the posture estimation for a real object is quickly and accurately performed. That is, the present invention can provide augmented reality and augmented virtual content that reduces the sense of heterogeneity by preventing the movement or misalignment of object tracking in object augmentation because posture estimation for a real object is quickly and accurately performed.

Accordingly, the method for providing a mixed reality environment of the present invention may provide a mixed reality environment in which virtual content is augmented on a plurality of real objects and the augmented real objects interact even when the camera moves in real time.

8 is an exemplary diagram illustrating a method of providing a mixed reality environment to a plurality of users when a user receiving a mixed reality environment is added in the method of providing the mixed reality environment of FIG. 6 , and FIG. 9 is the mixed reality environment of FIG. 8 . It is an exemplary diagram of a state in which a mixed reality environment service is provided to a plurality of users related to a medical surgery site by using the method.

In a method for providing a mixed reality environment according to an embodiment of the present invention, a second image sensor of a separate second wearable type computing device in the same environment as the first wearable type computing device includes a first guide tool, a second guide tool, and a target. In the second image obtained by photographing the object, the processor 220 of the server system 200 operates the mixed reality application so that the mixed reality application tracks the first guide tool, the second guide tool, and the target object, and creates a mixed reality environment. can provide

Also, the method for providing a mixed reality environment according to an embodiment of the present invention may include a step ( S610 ) in which the mixed reality application calibrates the second image sensor to obtain internal parameters and postures of the second image sensor. The second image sensor posture P4 may be an origin in an image of a space captured by the second image sensor.

Also, the method for providing a mixed reality environment according to an embodiment of the present invention may include receiving a second image captured by a second image sensor by the mixed reality application ( S611 ).

In addition, the method for providing a mixed reality environment according to an embodiment of the present invention may include the step of setting a second spatial coordinate system with respect to the target object in the second image by the mixed reality application ( S612 ).

In addition, the method for providing a mixed reality environment according to an embodiment of the present invention includes the step (S613) of estimating a second target relative posture by calculating a posture relative to the target object by the mixed reality application based on the second spatial coordinate system. can do.

In addition, the method for providing a mixed reality environment according to an embodiment of the present invention converts the second image sensor posture so that the mixed reality application sets the second target relative posture to the origin posture with respect to the second image sensor posture to the second image sensor. It may include a step (S614) of acquiring a transformed posture.

In addition, in the mixed reality environment providing method according to an embodiment of the present invention, the mixed reality application calculates the relative posture of the second guide tool based on the origin posture set in the second spatial coordinate system to estimate the relative posture of the second guide tool, , calculating the relative posture of the first guide tool based on the origin posture set in the second spatial coordinate system and estimating the relative posture of the first and second guide tools ( S614 ).

In addition, in the method for providing a mixed reality environment according to an embodiment of the present invention, the mixed reality application tracks the second guide tool based on the second estimated guide tool relative posture in the second image, and estimates 1-2 It may include tracking the first guide tool based on the relative posture of the guide tool (S615).

Also, the method for providing a mixed reality environment according to an embodiment of the present invention may include generating ( S616 ) a third virtual content corresponding to the second guide tool in which the mixed reality application is tracked. For example, as shown in FIG. 9 , the mixed reality environment is a medical surgery site, and first to third users may wear the first to third wearable type computing devices 100a , 100b , and 100c , respectively. Also, the first user u1 is operating the first guide tool 400a with respect to the target object 300 . The second user u2 is operating the second guide tool 400b with respect to the target object 300 . According to the above-described posture estimation method, the server system 500 takes the posture P10 of the target object 300 as an origin and converts the first image sensor posture P8-1 which is the posture of the first wearable type computing device 100a. ), the first guide tool relative posture P8-2 which is the posture of the first guide tool 400a, the second image sensor conversion posture P9-1 which is the posture of the second wearable type computing device 100b, and the second The second guide tool relative posture P9 - 2 which is the posture of the guide tool 400b and the third image sensor conversion posture P11 which is the posture of the third wearable type computing device 100c may be estimated. The server system 200 may generate the first virtual content with a scalpel in response to the first guide tool 400a, and may generate the second virtual content in an open state in response to the target object 300, In response to the second guide tool 400b, the third virtual content may be generated as a biopsy tool. In this case, the state in which the first virtual content of the first guide tool 100a provided to the second wearable type computing device 100b is visually displayed is the first guide tool provided to the first wearable type computing device 100a. The first virtual content of ( 100a ) may be different from a visually displayed appearance. This is because the perspective viewed by the second wearable type computing device 100a is different from the viewpoint viewed by the first wearable type computing device 100a , and thus the relative posture with respect to the first guide tool 100a is different.

In addition, in the method for providing a mixed reality environment according to an embodiment of the present invention, the mixed reality application augments the first virtual content on the target object based on the origin posture of the target object in the second image, and the second guide tool Augmenting the third virtual content to the second guide tool based on the posture, and augmenting the second virtual content to the first guide tool based on the relative posture of the 1-2 guide tool to provide a mixed reality environment (S617) may include. For example, as shown in FIG. 9 , in the case of a mixed reality environment of a medical surgery site in which a plurality of users are present, the server system 200 adjusts the first guide tool relative posture P8-2 to the first guide tool 400a. 1 A scalpel, a virtual content, can be augmented. In addition, the server system 200 may augment the open appearance of the second virtual content according to the origin posture P10 of the target object 300 . Also, the server system 200 may augment the biopsy tool, which is the third virtual content, to match the second guide tool relative posture P9-2 to the second guide tool 400b. In addition, when the first user 100a performs an operation to cut adjacent to the target object 300 with the first guide tool 400 , the subsystem 200 determines that the scalpel, which is the first virtual content, is the second virtual content. The second virtual content may be transformed into a state in which the surgical site is incised by acting on the surgical site. Thereafter, when the second user 100b performs an operation of performing a biopsy adjacent to the target object 300 using the second guide tool 400b, the subsystem 200 determines that the biopsy tool, which is the third virtual content, is used as the second virtual content. The second virtual content may be transformed into a biopsy of tissue at the incision site by acting on the surgical site modified by the incision.

As described above, the present invention can be applied to content in a work environment that requires real-time since interaction between virtual content is required and collaboration between virtual content is required because posture estimation for a real object is quickly and accurately performed. That is, the present invention can prevent object tracking from being pushed or misaligned in object augmentation because posture estimation for a real object is quickly and accurately performed, thereby reducing the sense of heterogeneity and more flexibly providing augmented reality and augmented virtual content from different viewpoints. can provide

Accordingly, according to the present invention, a plurality of users who wear an augmented reality providing apparatus equipped with a camera in an adjacent environment can simultaneously work on one augmented work object.

The embodiments according to the present invention described above may be implemented in the form of program instructions that can be executed through various computer components and recorded in a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the computer-readable recording medium may be specially designed and configured for the present invention, or may be known and used by those skilled in the computer software field. Examples of the computer-readable recording medium include hard disks, magnetic media such as floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magneto-optical media such as floppy disks. medium), and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. A hardware device may be converted into one or more software modules to perform processing in accordance with the present invention, and vice versa.

The specific implementations described in the present invention are only examples, and do not limit the scope of the present invention in any way. For brevity of the specification, descriptions of conventional electronic components, control systems, software, and other functional aspects of the systems may be omitted. In addition, the connection or connection members of the lines between the components shown in the drawings exemplarily represent functional connections and/or physical or circuit connections, and in an actual device, various functional connections, physical connections that are replaceable or additional may be referred to as connections, or circuit connections. In addition, unless there is a specific reference such as “essential” or “important”, it may not be a necessary component for application of the present invention.

In addition, although the detailed description of the present invention has been described with reference to a preferred embodiment of the present invention, those skilled in the art or those having ordinary knowledge in the art will appreciate the spirit of the present invention described in the claims to be described later. And it will be understood that various modifications and variations of the present invention can be made without departing from the technical scope. Accordingly, the technical scope of the present invention should not be limited to the contents described in the detailed description of the specification, but should be defined by the claims.

100 Wearable Type Computing Devices
200 server systems
300 target object
400 guide tools

Claims (7)

In the posture estimation method for the posture tracking application to track the guide tool by the processor of the server system operating the posture tracking application in the first image obtained by the first image sensor capturing the guide tool and the target object,
acquiring, by the posture tracking application, internal parameters and posture of the first image sensor by calibrating the first image sensor;
receiving, by the posture tracking application, a first image captured by the first image sensor;
setting, by the posture tracking application, a first spatial coordinate system with respect to the target object in the first image;
estimating, by the posture tracking application, a first target relative posture by calculating a posture relative to the target object based on the first spatial coordinate system; and
converting the first image sensor posture so that the posture tracking application sets the first target relative posture as an origin posture with respect to the first image sensor posture to obtain a first image sensor conversion posture;
Posture estimation method for tracking objects captured by a camera. According to claim 1,
estimating the guide tool relative posture by calculating, by the posture tracking application, the relative posture of the guide tool based on the set origin posture in the first spatial coordinate system; and
The step of tracking the guide tool based on the estimated guide tool relative posture by the posture tracking application; including
Posture estimation method for tracking objects captured by a camera. 3. The method of claim 2,
a second image sensor captures the guide tool and the target object so that the second image sensor acquires a second image;
acquiring, by the posture tracking application, internal parameters and posture of the second image sensor by calibrating each of the second image sensors;
receiving, by the posture tracking application, a second image captured by the second image sensor;
setting, by the posture tracking application, a second spatial coordinate system with respect to the target object in the second image;
estimating, by the posture tracking application, a second target relative posture by calculating a posture relative to the target object based on the second spatial coordinate system; and
obtaining a second image sensor transformation posture by converting the second image sensor posture so that the posture tracking application sets the second target relative posture as the origin posture with respect to the second image sensor posture in the second spatial coordinate system including;
Posture estimation method for tracking objects captured by a camera. 4. The method of claim 3,
estimating, by the posture tracking application, the relative posture of the guide tool based on the set origin posture in the second spatial coordinate system to calculate a relative posture of the guide tool; and
In the second image, the posture tracking application tracking the guide tool based on the 1-2 guide tool relative posture; including
Posture estimation method for tracking objects captured by a camera. The processor of the server system operates the mixed reality application in the first image obtained by the first wearable type computing device capturing the target object and the first guide tool with the first image sensor, so that the mixed reality application tracks the first guide tool And in a posture estimation method for tracking an object photographed with a camera that provides a mixed reality environment,
obtaining, by the mixed reality application, an internal parameter and a posture of the first image sensor by calibrating the first image sensor;
receiving, by the mixed reality application, a first image captured by the first image sensor;
setting, by the mixed reality application, a first spatial coordinate system with respect to the target object in the first image;
estimating, by the mixed reality application, a first target relative posture by calculating a relative posture with respect to the target object based on the first spatial coordinate system;
converting the first image sensor posture so that the mixed reality application sets the target relative posture as an origin posture with respect to the first image sensor posture to obtain a first image sensor conversion posture; and
estimating, by the mixed reality application, a relative posture of the first guide tool by calculating the relative posture of the first guide tool based on the set origin posture in the first spatial coordinate system;
Posture estimation method for tracking objects captured by a camera. 6. The method of claim 5,
tracking, by the mixed reality application, the first guide tool based on the estimated first guide tool relative posture;
generating, by the mixed reality application, first virtual content corresponding to the target object, and generating second virtual content corresponding to the tracked first guide tool; and
The mixed reality application, in the first image, augments the first virtual content on the target object based on the origin posture of the target object, and adds the first virtual content to the first guide tool based on the relative posture of the first guide tool. Augmenting the second virtual content to provide a mixed reality environment; further comprising
Posture estimation method for tracking objects captured by a camera. 7. The method of claim 6,
The second wearable type computing device acquires a second image by photographing the target object, the first guide tool, and the second guide tool with the second image sensor,
obtaining, by the mixed reality application, internal parameters and postures of the second image sensor by calibrating the second image sensor;
receiving, by the mixed reality application, a second image captured by the second image sensor;
setting, by the mixed reality application, a second spatial coordinate system with respect to the target object in the second image;
estimating, by the mixed reality application, a second target relative posture by calculating a relative posture with respect to the target object based on the second spatial coordinate system;
converting the second image sensor posture so that the mixed reality application sets the second target relative posture as the origin posture with respect to the second image sensor posture to obtain a second image sensor conversion posture;
The mixed reality application calculates the relative posture of the second guide tool based on the set origin posture in the second spatial coordinate system to estimate the second guide tool relative posture, and to the set origin posture in the second spatial coordinate system. estimating the relative posture of the first guide tool by calculating the relative posture of the first guide tool based on the first;
the mixed reality application, in the second image, tracks the second guide tool based on the second estimated guide tool relative posture, and tracks the first guide tool based on the 1-2 estimated guide tool relative posture tracking guide tool;
generating, by the mixed reality application, third virtual content corresponding to the tracked second guide tool; and
The mixed reality application augments the first virtual content on the target object based on the origin posture of the target object in the second image, and provides the second guide tool based on the relative posture of the second guide tool. Augmenting the third virtual content and providing a mixed reality environment by augmenting the second virtual content to the first guide tool based on the relative posture of the 1-2 guide tool
Posture estimation method for tracking objects captured by a camera.

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