WO2018098867A1 - 摄像装置及其图像处理方法、虚拟现实设备 - Google Patents

摄像装置及其图像处理方法、虚拟现实设备 Download PDF

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WO2018098867A1
WO2018098867A1 PCT/CN2016/111544 CN2016111544W WO2018098867A1 WO 2018098867 A1 WO2018098867 A1 WO 2018098867A1 CN 2016111544 W CN2016111544 W CN 2016111544W WO 2018098867 A1 WO2018098867 A1 WO 2018098867A1
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processor unit
pickup apparatus
image pickup
communication module
processor
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French (fr)
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刘鑫
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Goertek Techology Co Ltd
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Goertek Techology Co Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20Image signal generators
    • H04N13/204Image signal generators using stereoscopic image cameras
    • H04N13/239Image signal generators using stereoscopic image cameras using two two-dimensional [2D] image sensors having a relative position equal to or related to the interocular distance

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  • the present invention relates to the field of image acquisition technology, and more particularly to an image pickup apparatus, an image processing method of the image pickup apparatus, and a virtual reality apparatus having the same.
  • VR technology uses computer simulation to generate a virtual world in a three-dimensional space, providing users with simulations of visual, auditory, tactile and other senses, so that users can be as immersive as they can, and can observe three times in a timely and unrestricted manner. Transactions within the space.
  • the spatial positioning system in virtual reality mainly recognizes the position and posture of the participants by tracking the spatial position of peripherals such as helmets and handles.
  • the infrared signals emitted by the infrared emitters installed on these peripherals are mainly collected by the camera device for positioning and tracking of peripherals.
  • an image pickup apparatus comprising a processor unit, a communication module, and at least one set of binocular cameras, the processor unit including at least one processor, the at least one set of binoculars
  • the camera transmits the collected image data to the processor unit for processing, and the processor unit transmits the corresponding processing result to the communication module for transmission.
  • a virtual reality device comprising: a host device and a camera device according to the first aspect of the present invention, wherein the host establishes a communication connection with a communication module of the camera device, The processor unit of the camera device transmits the processing result obtained by processing various types of data to the host through the communication connection.
  • the location information is transmitted to the communication module of the imaging device as a processing result corresponding to the image data for transmission.
  • FIG. 1 is a block schematic diagram of an embodiment of an image pickup apparatus according to the present invention.
  • FIG. 2 is a block schematic diagram of an embodiment of a virtual reality device in accordance with the present invention.
  • FIG. 3 is a flow chart showing an embodiment of an image processing method of an image pickup apparatus according to the present invention.
  • U101-application processor U102-coprocessor
  • U3-storage unit U4-inertial measurement unit
  • U5-communication module U6-power management chip
  • M1-microphone module C1-first group of binocular cameras
  • C2-second group binocular camera U1-processor unit.
  • Figure 1 is a block schematic diagram of an embodiment of an image pickup apparatus according to the present invention.
  • the camera device includes a processor unit U1, a communication module U5, and two sets of binocular cameras C1, C2.
  • the image data collected by each group of binocular cameras C1 and C2 is transmitted to the processor unit U1 for processing.
  • the processor unit U1 can configure each group of binocular cameras C1, C2, for example, via an I2C bus.
  • the processor unit U1 transmits the processing result of various processing, including the processing result obtained by processing the image data, to the communication module U5 for transmission. In this way, after the imaging device establishes a communication connection with the host through the communication module U5, the processing result obtained by the processor unit U1 can be sent to the host for use by the host, thereby reducing the processing load of the host.
  • the communication module U5 is a wireless communication module, so that various types of processed data can be transmitted by establishing a wireless communication connection with the host.
  • the communication module U5 may also be a wired communication module, such as a USB communication module or the like.
  • Each set of binocular cameras includes two cameras of the same type, which are equivalent to the left and right eyes for information capture in three dimensions.
  • the first set of binocular cameras C1 is a standard camera, for example
  • the sensor model is the OV9281 camera for gesture capture;
  • the second group of binocular camera C2 uses a fisheye lens, such as the sensor model OV7251, for depth of field.
  • the two sets of binocular cameras C1 and C2 will capture the infrared light emitted by the handle infrared light at the set frequency, and the first group of binocular cameras C1 will gesture. Capture, the second group of binocular cameras C2 obtains the depth of field, and together to complete the positioning of the handle action.
  • the processor unit U1 processes the image data captured by the two sets of binocular cameras C1 and C2, and further obtains the position information of the handle in the space, and sends the processed position information to the host of the virtual reality device through the communication module U5. After the host gets the location information of the handle, it can map it to the VR scene to implement the corresponding VR operation.
  • the camera device may further include an Inertial Measurement Unit (IMU) U4, and the inertial measurement unit U4 also transmits the collected motion data to the processor unit U1 for processing, and the processor unit U1 may The corresponding processing result is also transmitted to the communication module U5 for transmission.
  • IMU Inertial Measurement Unit
  • the inertial measurement unit (IMU) U4 is a device for measuring the three-axis attitude angle (or angular rate) of the object and the acceleration.
  • the gyroscope, the accelerometer, and the geomagnetic sensor are the main components of the IMU.
  • An IMU may, for example, comprise three single-axis accelerometers and three single-axis gyroscopes, the accelerometer detecting an acceleration signal of an independent three-axis of the object in the carrier coordinate system, and the gyroscope detecting the angular velocity signal of the carrier relative to the navigation coordinate system, The angular velocity and acceleration of the object in three-dimensional space are measured, and the posture of the object is calculated.
  • the processor unit U1 includes at least one processor for processing data collected by each group of binocular cameras C1, C2 and inertial measurement unit U4.
  • the processor unit U1 includes an application processor U101 and a coprocessor U102 to perform certain tasks through the coprocessor U102, such as monitoring each group of binocular cameras C1, C2, and an inertial measurement unit. U4, etc., thereby reducing the burden on the application processor U101.
  • the coprocessor U102 is communicatively coupled to the application processor U101, for example, via a USB 3.0 bus, and the communication module U5 is communicatively coupled to the application processor U101, for example, via an I2C bus.
  • the coprocessor U102 can transmit the data preprocessed by the coprocessor U102 to the application processor U101 for further processing, and the application processor U101 transmits the processed processing result to the communication module U5. send.
  • At least one set of binocular cameras C1, C2 can be connected to the coprocessor U102 through the MIPI interface, for example, to preprocess the image data collected by the binocular cameras C1, C2 by the coprocessor U102. .
  • the connections at both ends can be achieved through the MIPI bridge chip.
  • the inertial measurement unit U4 can be connected to the coprocessor U102 via the SPI interface, for example, to preprocess the motion data collected by the inertial measurement unit U4 by the coprocessor U102.
  • the camera device may further include an audio codec chip U7, a microphone module M1, and a speaker module S1.
  • the microphone module M1 is connected to the processor unit U1 through an audio coding channel of the audio codec chip U7, and the processor unit U1 passes the audio.
  • the audio decoding channel of the codec chip U7 is connected to the speaker module S1.
  • the audio codec chip U7 can be connected, for example, to the application processor U101 of the processor unit U1 via an I2S bus.
  • the camera device can also be powered by a battery to improve the reliability and convenience of the camera.
  • the camera device may further include a battery B1, a power management chip (PMIC/PMU) U6, and a USB socket J1.
  • the battery B1 supplies power to each of the power devices of the camera device via the battery management chip U6.
  • J1 is connected to power management chip U6 and processor unit U1 for data transmission, and power management chip U6 is communicatively coupled to processor unit U1 for transmitting control commands and/or status information.
  • the working mode between the power management chip U6 and the processor unit U1 is as follows:
  • the power management chip U6 After detecting that the VBUS pin of the USB socket J1 is powered on, the power management chip U6 performs an interaction with the external device inserted into the USB socket J1, and after the interaction, if it is judged that the external device is a charger, the charging channel is turned on. The charger charges the battery; if it is judged that the inserted external device is a USB host, the processor unit U1 is notified through a communication channel with the processor unit U1 to establish a USB connection between the processor unit U1 and the external device. .
  • the power management chip U6 can be communicatively coupled to application processor U101, for example, via an I2C bus.
  • the USB socket J1 can be connected only to the application processor U101.
  • the USB socket J1 can also be connected to the application processor U101 and the coprocessor U102 at the same time, where the connection selection can be made by communication between the application processor U101 and the coprocessor U102.
  • the camera device may further include an isolation circuit for connecting the power management chip U6 to the USB socket J1 through the isolation circuit, thereby connecting the circuit between the power management chip U6 and the USB socket J1 and between the processor unit U1 and the USB socket J1.
  • the high speed communication circuit is isolated.
  • the image capturing apparatus may further include a storage unit U3, and the storage unit U3 includes at least one memory for expanding the storage space of the processor unit U1.
  • the storage unit U3 includes, for example, at least one of double rate synchronous dynamic random access memory (DDR) and FLASH.
  • DDR double rate synchronous dynamic random access memory
  • FLASH FLASH
  • processor unit U1 includes application processor U101 and coprocessor U102
  • the memory unit U3 can be directly coupled to the read/write pins of coprocessor U102.
  • FIG. 2 is a block schematic diagram of one embodiment of a virtual reality device in accordance with the present invention.
  • the virtual reality device comprises a host 210 and an imaging device according to the invention, which is labeled 220 in this embodiment.
  • the imaging device 220 establishes a communication connection with the host 210 through its communication module U5, and further transmits the processing result obtained by processing the various types of data by the processor unit U1 of the imaging device 220 to the host 210 for use by the host 210.
  • the virtual reality device of the present invention since the imaging device 220 itself undertakes the main calculation task, the burden on the host 210 can be greatly reduced, thereby effectively solving the problem of heat generation of the host. Therefore, the virtual reality device of the present invention can adopt The design of the host 210 on the wearing portion of the virtual reality device does not cause user discomfort due to severe heat generation.
  • the host 210 can also be disposed in the mobile handle in communication with the camera 220 and the headset.
  • the host 210 can also be a fixed PC in communication with the camera 220 and the headset.
  • FIG. 3 shows a kind of image processing performed by the processor unit U1 of the image pickup apparatus according to the present invention.
  • the image processing method may include the following steps:
  • Step S301 receiving image data collected by at least one set of binocular cameras C1, C2.
  • the processor unit U1 receives image data acquired by at least one set of binocular cameras C1, C2, for example via an MIPI bus. Step S302, preprocessing the received image data to improve image quality.
  • the pre-processing may include at least one of grayscale processing, enhancement processing, filtering processing, binarization processing, white balance processing, demosaic processing, gamma correction processing, and the like.
  • This pre-processing can be performed, for example, by an image acquisition engine (IAE) integrated by the processor unit.
  • IAE image acquisition engine
  • Step S303 generating a depth image based on the preprocessed image data.
  • Each pixel value in the depth image is used to represent the distance of a point in the scene relative to the camera.
  • Step S304 based on the depth image, obtain position information of the positioned object.
  • the step S304 can be performed, for example, by a computer Vision Engine (CVE) integrated by the processor unit, and the computer vision engine processes the depth image through the DSP and the computer vision algorithm to obtain position information of the positioned object.
  • CVE computer Vision Engine
  • the object to be positioned is, for example, a helmet, a handle, or the like that is marked with infrared light.
  • step S305 the location information is transmitted as a processing result of the corresponding image data to the communication module U5 of the imaging device for transmission.
  • the camera device can send the processing result obtained by the processor unit U1 processing the received image data to the host for use by the host, so that the host does not need to occupy resources to collect image data collected by at least one group of binocular cameras. Processing, thereby reducing the burden on the host.
  • the processor unit U1 includes an application processor U101 and a coprocessor U102.
  • the above steps S301 to S304 may all be completed by the coprocessor U102, and the application processor U101 is only responsible for processing the result. Integrating and transmitting the processing result through the communication module U5; or the coprocessor U102 may perform the above steps S301 and S302, or The above steps S301 to S303 are performed, and the remaining steps are performed by the application processor U101.
  • the processing of the motion data collected by the inertial measurement unit (IMU) by the processor unit U1 may be, for example, transmission to the integrated processor unit through fast interrupt response (FIQ), further integrated into the processor unit.
  • FIQ fast interrupt response
  • a General Purpose Processor (GPP) performs processing to generate a quaternion, and transmits the quaternion as a processing result of the corresponding motion data to the communication module U5 for transmission.

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Abstract

一种摄像装置及其图像处理方法、虚拟现实设备,该摄像装置包括处理器单元、通信模块、及至少一组双目摄像头,处理器单元包括至少一个处理器,至少一组双目摄像头将采集到的图像数据传输至处理器单元进行处理,处理器单元将相应的处理结果传输至所述通信模块进行发送。该虚拟现实设备包括该摄像装置和主机,摄像装置的处理器单元通过通信模块将处理各类数据得到的处理结果发送至主机。

Description

摄像装置及其图像处理方法、虚拟现实设备 技术领域
本发明涉及图像采集技术领域,更具体地,本发明涉及一种摄像装置、该种摄像装置的图像处理方法、及具有该种摄像装置的虚拟现实设备。
背景技术
虚拟现实技术简称VR技术,其是利用电脑模拟产生一个三维空间的虚拟世界,提供用户关于视觉、听觉、触觉等感官的模拟,让用户如同身临其境一般,可以及时、没有限制地观察三度空间内的事务。
虚拟现实中的空间定位系统主要是通过跟踪例如是头盔、手柄等外设的空间位置,识别参与者的位置、姿态等。
现有的空间定位系统中,主要通过摄像装置采集安装在这些外设上的红外发射器发出的红外信号进行外设的定位与跟踪。
发明内容
根据本发明的第一方面,提供了一种摄像装置,其包括处理器单元、通信模块、及至少一组双目摄像头,所述处理器单元包括至少一个处理器,所述至少一组双目摄像头将采集到的图像数据传输至所述处理器单元进行处理,所述处理器单元将相应的处理结果传输至所述通信模块进行发送。
根据本发明的第二方面,还提供了一种虚拟现实设备,其包括主机和根据本发明的第一方面所述的摄像装置,所述主机与所述摄像装置的通信模块建立通信连接,所述摄像装置的处理器单元将处理各类数据得到的处理结果通过所述通信连接发送至所述主机。
根据本发明的第三方面,还提供了一种根据本发明第一方面所述的摄像装置的图像处理方法,所述处理器单元:
接收至少一组双目摄像头采集到的图像数据;
对所述图像数据进行预处理;
基于预处理后的图像数据,生成深度图像;
基于所述深度图像,得到被定位物体的位置信息;以及,
将所述位置信息作为对应所述图像数据的处理结果传输至所述摄像装置的通信模块进行发送。
通过以下参照附图对本发明的示例性实施例的详细描述,本发明的其它特征及其优点将会变得清楚。
附图说明
被结合在说明书中并构成说明书的一部分的附图示出了本发明的实施例,并且连同其说明一起用于解释本发明的原理。
图1为根据本发明摄像装置的一种实施例的方框原理图;
图2为根据本发明虚拟现实设备的一种实施例的方框原理图;
图3为根据本发明摄像装置的图像处理方法的一种实施例的流程示意图。
附图标记说明:
U101-应用处理器;        U102-协处理器;
U3-存储单元;            U4-惯性测量单元;
U5-通信模块;            U6-电源管理芯片;
U7-音频编解码芯片;      B1-电池;
J1-USB插座;             S1-扬声器模组;
M1-麦克风模组;          C1-第一组双目摄像头;
C2-第二组双目摄像头;    U1-处理器单元。
具体实施方式
现在将参照附图来详细描述本发明的各种示例性实施例。应注意到:除非另外具体说明,否则在这些实施例中阐述的部件和步骤的相对布置、数字表达式和数值不限制本发明的范围。
以下对至少一个示例性实施例的描述实际上仅仅是说明性的,决不作为对本发明及其应用或使用的任何限制。
对于相关领域普通技术人员已知的技术、方法和设备可能不作详细讨论,但在适当情况下,所述技术、方法和设备应当被视为说明书的一部分。
在这里示出和讨论的所有例子中,任何具体值应被解释为仅仅是示例性的,而不是作为限制。因此,示例性实施例的其它例子可以具有不同的值。
应注意到:相似的标号和字母在下面的附图中表示类似项,因此,一旦某一项在一个附图中被定义,则在随后的附图中不需要对其进行进一步讨论。
图1是根据本发明摄像装置的一种实施例的方框原理图。
根据图1所示,该摄像装置包括处理器单元U1、通信模块U5、及两组双目摄像头C1、C2。
各组双目摄像头C1、C2采集到的图像数据传输至处理器单元U1进行处理。
处理器单元U1例如可以通过I2C总线对各组双目摄像头C1、C2进行配置。
处理器单元U1将进行各种处理的处理结果,包括处理图像数据得到的处理结果,传输至通信模块U5进行发送。这样,在摄像装置通过通信模块U5与主机建立通信连接后,便可将处理器单元U1获得的处理结果发送至主机供主机使用,进而减轻主机的处理负担。
为了提高使用便捷性,在该实施例中,该通信模块U5为无线通信模块,这样,便可以通过与主机建立无线通信连接的方式进行处理过的各类数据的发送。
在另外的实施例中,该通信模块U5也可以为有线通信模块,例如是USB通信模块等。
每组双目摄像头包括两个相同类型的摄像头,以相当于左右眼进行三维空间的信息捕捉。
在图1所示的实施例中,第一组双目摄像头C1为标准摄像头,例如 传感器型号为OV9281的摄像头,用于进行手势捕捉;第二组双目摄像头C2采用鱼眼镜头,例如传感器型号为OV7251,用于获取景深。
以应用场景为用户手持带有红外灯的无线手柄体验VR游戏为例,两组双目摄像头C1、C2将以设定频率捕捉手柄红外灯发出的红外光,第一组双目摄像头C1进行手势捕捉,第二组双目摄像头C2获取景深,进而共同完成对手柄动作的定位。处理器单元U1对两组双目摄像头C1、C2捕捉到的图像数据进行处理,进而获知手柄在空间中的位置信息,并通过通信模块U5将处理得到的位置信息发送至虚拟现实设备的主机,主机得到手柄的位置信息后,便可以将其映射到VR场景中,以实现相应的VR操作。
在该实施例中,该摄像装置还可以包括惯性测量单元(Inertial measurement unit,IMU)U4,该惯性测量单元U4同样将采集到的运动数据传输至处理器单元U1进行处理,处理器单元U1可以将相应的处理结果同样传输至通信模块U5进行发送。
该惯性测量单元(IMU)U4是测量物体三轴姿态角(或角速率)以及加速度的装置,陀螺仪、加速度计、地磁传感器是IMU的主要元件。一个IMU例如可以包括三个单轴的加速度计和三个单轴的陀螺仪,加速度计检测物体在载体坐标系统独立三轴的加速度信号,而陀螺仪检测载体相对于导航坐标系的角速度信号,测量物体在三维空间中的角速度和加速度,并以此解算出物体的姿态。
上述处理器单元U1包括至少一个处理器对各组双目摄像头C1、C2及惯性测量单元U4等采集到的数据进行处理。
在该实施例中,该处理器单元U1包括一个应用处理器U101和一个协处理器U102,以通过协处理器U102执行一些特定任务,例如监控各组双目摄像头C1、C2,及惯性测量单元U4等,进而减轻应用处理器U101的负担。
该协处理器U102例如通过USB3.0总线与应用处理器U101通信连接,而通信模块U5例如通过I2C总线与应用处理器U101通信连接。这样,协处理器U102便可将经其预处理的数据传输至应用处理器U101做进一步的处理,应用处理器U101再将处理得到的处理结果传输至通信模块U5进行 发送。
因此,在该实施例中,至少一组双目摄像头C1、C2例如可以通过MIPI接口与协处理器U102连接,以通过协处理器U102对双目摄像头C1、C2采集到的图像数据进行预处理。
在任何一端不具有MIPI接口的实施例中,可以通过MIPI桥接芯片实现两端的连接。
同样,在该实施例中,惯性测量单元U4例如可以通过SPI接口与协处理器U102连接,以通过协处理器U102对惯性测量单元U4采集到的运动数据进行预处理。
该摄像装置还可以包括音频编解码芯片U7、麦克风模组M1及扬声器模组S1,该麦克风模组M1通过音频编解码芯片U7的音频编码通道与处理器单元U1连接,处理器单元U1通过音频编解码芯片U7的音频解码通道与扬声器模组S1连接。这样,便可通过本发明的摄像装置进行语音通信。
在处理器单元U1具有应用处理器U101和协处理器U102的实施例中,该音频编解码芯片U7例如可以通过I2S总线与处理器单元U1的应用处理器U101连接。
该摄像装置还可以自带电池供电,以提高摄像装置的可靠性和便捷性。
因此,在该实施例中,该摄像装置还可以包括电池B1、电源管理芯片(PMIC/PMU)U6和USB插座J1,电池B1经由电池管理芯片U6为摄像装置的各用电器件供电,USB插座J1与电源管理芯片U6和处理器单元U1连接,以实现数据传输,电源管理芯片U6与处理器单元U1通信连接,以传输控制命令和/或状态信息。
电源管理芯片U6与处理器单元U1之间的工作方式例如为:
电源管理芯片U6在检测到USB插座J1的VBUS引脚上电后,与插入USB插座J1的外部设备进行充电协议的交互,交互之后,如果判断插入外部设备是充电器,则打开充电通道,使充电器为电池充电;如果判断插入的外部设备为PC机(USB host),则通过与处理器单元U1之间的通信通道通知处理器单元U1,以使处理器单元U1与外部设备建立USB连接。
在处理器单元U1包括应用处理器U101和协处理器U102的实施例中,该电源管理芯片U6例如可以通过I2C总线与应用处理器U101通信连接。该USB插座J1可以仅与应用处理器U101连接。该USB插座J1也可以同时与应用处理器U101和协处理器U102连接,在此可以通过应用处理器U101与协处理器U102之间的通信进行连接的选择。
该摄像装置还可以进一步包括隔离电路,以使电源管理芯片U6通过隔离电路与USB插座J1连接,进而将电源管理芯片U6与USB插座J1之间的电路与处理器单元U1与USB插座J1之间的高速通信电路隔离开。
在该实施例中,摄像装置还可以包括存储单元U3,存储单元U3包括至少一个存储器用于扩展处理器单元U1的存储空间.
该存储单元U3例如包括双倍速率同步动态随机存储器(DDR)、FLASH中的至少一种存储器。
在处理器单元U1包括应用处理器U101和协处理器U102的实施例中,该存储单元U3可以直接与协处理器U102的读写引脚连接。
图2是根据本发明虚拟现实设备的一种实施例的方框原理图。
根据图2所示,该虚拟现实设备包括主机210和根据本发明的摄像装置,该摄像装置在该实施例中被标记为220。
摄像装置220通过其通信模块U5与主机210建立通信连接,进而将摄像装置220的处理器单元U1处理各类数据得到的处理结果发送至主机210,供主机210使用。
对于本发明的虚拟现实设备,由于摄像装置220自身承担了主要的计算任务,能够较大程度地减轻主机210的负担,进而有效解决主机发热的问题,因此,本发明的虚拟现实设备能够采用将主机210设置在虚拟现实设备的头戴部分上的设计结构,而不会因发热严重导致用户不适。
在另外的实施例中,该主机210也可以设置在移动手柄中与摄像装置220和头戴部分通信连接。
在另外的实施例中,该主机210也可以是固定的PC机与摄像装置220和头戴部分通信连接。
图3示出了根据本发明摄像装置的处理器单元U1进行图像处理的一种 实施方法的流程示意图。
根据图3所示,该图像处理方法可以包括如下步骤:
步骤S301,接收至少一组双目摄像头C1、C2采集到的图像数据。
处理器单元U1例如通过MIPI总线接收至少一组双目摄像头C1、C2采集到的图像数据。步骤S302,对接收到的图像数据进行预处理,以改善图像质量。
该预处理可以包括灰度化处理、增强处理、滤波处理、二值化处理、白平衡处理、去马赛克处理、伽马校正处理等中的至少一种。
该预处理例如可由处理器单元集成的图像采集引擎(Image Acquisition Engine,IAE)执行。
步骤S303,基于预处理后的图像数据,生成深度图像。
深度图像中的每一个像素值用于表示场景中某一点相对于摄像装置的距离。
这例如可以基于预处理后的图像数据,通过智能视差映射和细化算法等生产深度图像。
步骤S304,基于该深度图像,得到被定位物体的位置信息。
该步骤S304例如可以由处理器单元集成的计算机视觉引擎(Computer Vision Engine,CVE)执行,该计算机视觉引擎通过DSP和计算机视觉算法处理深度图像,得到被定位物体的位置信息。被定位物体例如是被红外光标记的头盔、手柄等。
步骤S305,将该位置信息作为对应图像数据的处理结果传输至所述摄像装置的通信模块U5进行发送。
通过该步骤,摄像装置便可将处理器单元U1处理接收到的图像数据得到的处理结果发送至主机供主机使用,这样,主机便无需再占用资源对至少一组双目摄像头采集到的图像数据进行处理,进而减轻了主机的负担。
在图1所示的实施例中,处理器单元U1包括应用处理器U101和协处理器U102,以上步骤S301至步骤S304可以均由协处理器U102完成,而应用处理器U101仅负责处理结果的整合及通过通信模块U5进行处理结果的发送;也可以是协处理器U102执行上述步骤S301和步骤S302,或者执 行上述步骤S301至步骤S303,而其余步骤由应用处理器U101执行。
另外,处理器单元U1对惯性测量单元(IMU)采集到的运动数据的处理例如可以是:通过快速中断响应(FIQ)传输至集成上处理器单元中的,进一步为集成在处理器单元的协处理器中的,通用处理模块(General Purpose Processor,GPP)进行处理,生成四元数,并将在四元数作为对应运动数据的处理结果传输至通信模块U5进行发送。
本说明书中的各个实施例均采用递进的方式描述,各个实施例之间相同相似的部分相互参见即可,每个实施例重点说明的都是与其他实施例的不同之处,而且各个实施例可以根据需要单独使用或者相互结合使用。
虽然已经通过例子对本发明的一些特定实施例进行了详细说明,但是本领域的技术人员应该理解,以上例子仅是为了进行说明,而不是为了限制本发明的范围。本领域的技术人员应该理解,可在不脱离本发明的范围和精神的情况下,对以上实施例进行修改。本发明的范围由所附权利要求来限定。

Claims (10)

  1. 一种摄像装置,其特征在于,包括处理器单元(U1)、通信模块(U5)、及至少一组双目摄像头(C1、C2),所述处理器单元(U1)包括至少一个处理器(U101、U102),所述至少一组双目摄像头(C1、C2)将采集到的图像数据传输至所述处理器单元(U1)进行处理,所述处理器单元(U1)将相应的处理结果传输至所述通信模块(U5)进行发送。
  2. 根据权利要求1所述的摄像装置,所述摄像装置包括至少两组双目摄像头(C1、C2),且其中一组双目摄像头(C2)采用鱼眼镜头。
  3. 根据权利要求1或2所述的摄像装置,所述处理器单元(U1)包括一个应用处理器(U101)和一个协处理器(U102),所述至少一组双目摄像头(C1、C2)与所述协处理器(U102)连接,所述协处理器(U102)与所述应用处理器(U101)通信连接,所述通信模块(U5)与所述应用处理器(U101)通信连接。
  4. 根据权利要求3所述的摄像装置,其特征在于,所述协处理器(U102)与所述应用处理器(U101)通过USB总线通信连接。
  5. 根据权利要求1至4中任一项所述的摄像装置,其特征在于,所述摄像装置还包括惯性测量单元(U4),所述惯性测量单元(U4)将采集到的运动数据传输至所述处理器单元(U1)进行处理,所述处理器单元(U1)将相应的处理结果传输至所述通信模块(U5)进行发送。
  6. 根据权利要求1至5中任一项所述的摄像装置,其特征在于,所述摄像装置还包括音频编解码芯片(U7)、麦克风模组(M1)及扬声器模组(S1),所述麦克风模组(M1)通过所述音频编解码芯片(U7)的音频编码通道与所述处理器单元(U1)连接,所述处理器单元(U1)通过所述音频编解码芯片(U7)的音频解码通道与所述扬声器模组(S1)连接。
  7. 根据权利要求1至6中任一项所述的摄像装置,其特征在于,所述通信模块(U5)为无线通信模块。
  8. 根据权利要求1至7中任一项所述的摄像装置,其特征在于,所述摄像装置还包括电池(B1)、电源管理芯片(U6)和USB插座(J1),所述电池(B1)经由所述电池管理芯片(U6)为所述摄像装置的用电器件供电,所述USB插座(J1)分别与所述电源管理芯片(U6)和所述处理器单元(U1)连接,所述电源管理芯片(U6)与所述处理器单元(U1)通信连接。
  9. 一种虚拟现实设备,其特征在于,包括主机(210)和权利要求1至8中任一项所述的摄像装置(220),所述主机(210)与所述摄像装置(220)的通信模块(U5)建立通信连接,所述摄像装置(220)的处理器单元(U1)将处理各类数据得到的处理结果通过所述通信连接发送至所述主机(210)。
  10. 根据权利要求1至8中任一项所述的摄像装置的图像处理方法,其特征在于,所述处理器单元:
    接收至少一组双目摄像头(C1、C2)采集到的图像数据;
    对所述图像数据进行预处理;
    基于预处理后的图像数据,生成深度图像;
    基于所述深度图像,得到被定位物体的位置信息;以及,
    将所述位置信息作为对应所述图像数据的处理结果传输至所述摄像装置的通信模块进行发送。
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