KR20130081037A - Apparatus for measuring body size and method thereof - Google Patents
Apparatus for measuring body size and method thereof Download PDFInfo
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- KR20130081037A KR20130081037A KR1020120001990A KR20120001990A KR20130081037A KR 20130081037 A KR20130081037 A KR 20130081037A KR 1020120001990 A KR1020120001990 A KR 1020120001990A KR 20120001990 A KR20120001990 A KR 20120001990A KR 20130081037 A KR20130081037 A KR 20130081037A
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- A—HUMAN NECESSITIES
- A41—WEARING APPAREL
- A41H—APPLIANCES OR METHODS FOR MAKING CLOTHES, e.g. FOR DRESS-MAKING OR FOR TAILORING, NOT OTHERWISE PROVIDED FOR
- A41H1/00—Measuring aids or methods
- A41H1/02—Devices for taking measurements on the human body
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
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Abstract
Description
The present disclosure relates to an anthropometric measurement system and method thereof.
In general, the dimensional measurement (body measurement) method of the human body measures the length or circumference of a body part using a tape measure mainly used in tailor-made clothes. Another method for measuring the size of a human body (body measurement) can automatically detect the required length and circumference of the body part from three-dimensional shape information obtained by scanning the human body through an active scanner using a laser or patterned light.
The method of measuring the body shape depending on the a priori experience of the person has a disadvantage that depends on the experience of the practitioner and the situation at the time of the measurement. The other method of measuring the size of the human body (body measurement) has the disadvantage of requiring expensive equipment, an error caused by the movement of the human body during shooting, and a considerable time in the method of processing the measured data. The human body size and clothing number measuring system and method are also disclosed in Korean Patent Application No. 10-2006-0055267.
The present specification measures a human body size based on multiview image information photographed through multiple cameras installed around a human body, and a human body size measurement system and method for providing the measured human body size through a terminal. The purpose is to provide.
Human body measurement system according to an embodiment of the present disclosure, based on a multi-view image of the human body taken through the multi-camera, generates three-dimensional human body shape information by restoring the voxel-based appearance of the human body, the human body Appearance restoration unit for detecting the skeleton information for defining each part of the; A multi-view mask image generation unit generating a multi-view mask image in which human body information is recorded for measuring a human body part in the user terminal based on the 3D human body shape information; A transmitter for transmitting measured data including the reconstructed voxel appearance, skeleton information, and a multiview mask image; And a terminal configured to receive the transmitted measurement data and measure and display dimensions of a human body part selected by a user based on the received measurement data.
As an example related to the present specification, the apparatus may further include a database storing the measurement data transmitted from the transmitter.
As an example related to the present specification, the appearance restoring unit may compare the cross-sectional color distribution of the human body photographed by the first camera among the multi-cameras with the cross-sectional color distribution of the human body photographed by the second camera. By detecting a boundary and removing voxels that are out of the improved corresponding point for each search line of the cross-section of the human body, the voxel restoration accuracy may be improved.
As an example related to the present specification, the multi-view mask image generator may generate a multi-view mask image in which the human body part is indexed by adding an index to a region corresponding to the human body part based on the body part information. .
As an example related to the present specification, an area corresponding to the human body part may be an area within a binned foreground area of the multi-view image.
As an example related to the present specification, the transmission unit may transmit geometric correction information of the human body front view image and the multi-view image from which the user can select each human body part to the terminal.
As an example related to the present specification, the terminal may include: a measurement data input unit configured to receive the transmitted measurement data and parse the received measurement data to perform a user-defined measurement service; A user GUI processor configured to display a human body front view image in the parsed measurement data on a screen, and detect a human body part selected by the user from the displayed human body front view image; A user defined part measuring unit measuring a dimension of the human body part selected by the user; It may include an output unit for displaying the measured human body dimensions on the screen or stored in a database.
As an example related to the present specification, the user defined part measuring unit may measure the circumference of the human body part based on the length information of the convex hull corresponding to each cross section of the human body part.
The human body dimensional measurement system according to an embodiment of the present disclosure includes a voxel appearance, skeleton information, a multiview mask image, a human body front view image, and geometric correction information of the multiview image reconstructed based on a multiview image of the human body. A measurement data generator for generating and transmitting measurement data; And a terminal configured to receive the transmitted measurement data and measure and display dimensions of a human body part selected by a user based on the received measurement data.
Human body measurement system according to an embodiment of the present disclosure, based on a multi-view image of the human body taken through the multi-camera, generates three-dimensional human body shape information by restoring the voxel-based appearance of the human body, the human body Detecting skeleton information for defining each part of the apparatus; Generating a multi-view mask image in which human body information is recorded for measuring a human body part in a user terminal based on the 3D human body shape information; Transmitting measurement data including the reconstructed voxel appearance and skeleton information and a multiview mask image; Receiving the transmitted measurement data through the terminal, and measuring and displaying the dimensions of the human body selected by the user based on the received measurement data.
Human body size measurement system and method according to an embodiment of the present disclosure, the dimensions of the human body based on the multi-view image information taken through the multiple cameras installed around the human body (for example, the circumference of various parts of the human body Information), and the measured human body dimensions can be provided through a terminal such as a smartphone.
1 is a block diagram showing the configuration of a human body size measurement system according to an embodiment of the present invention.
2 is an exemplary view showing a multi-camera applied to an apparatus for measuring anthropometry according to an embodiment of the present invention.
3 and 4 is an exemplary view showing a human body part measured according to an embodiment of the present invention.
5 is an exemplary diagram illustrating a visual hull reconstruction method through silhouette intersection of a multiview image.
6 is an exemplary diagram illustrating an error between a body part boundary and a body part boundary in an actual image according to a visual hull restoration result.
FIG. 7 is an exemplary diagram illustrating a search line for improving restoration accuracy when a restoration error occurs due to self occlusion.
8 is an exemplary diagram of boundary extraction of the
9 is a diagram illustrating each of the search selection colors of FIG. 8 in a color space.
10 is an exemplary view showing measurement data according to an embodiment of the present invention.
11 is an exemplary view illustrating an image of a human body front view displayed on a screen of a terminal (for example, a smartphone).
12 is an exemplary view illustrating a process of measuring a site selected by a user.
It is to be noted that the technical terms used herein are merely used to describe particular embodiments, and are not intended to limit the present invention. It is also to be understood that the technical terms used herein are to be interpreted in a sense generally understood by a person skilled in the art to which the present invention belongs, Should not be construed to mean, or be interpreted in an excessively reduced sense. In addition, when the technical terms used herein are incorrect technical terms that do not accurately express the spirit of the present invention, they should be replaced with technical terms that can be understood correctly by those skilled in the art. In addition, the general terms used in the present invention should be interpreted according to a predefined or prior context, and should not be construed as being excessively reduced.
Also, the singular forms "as used herein include plural referents unless the context clearly dictates otherwise. In the present application, the term "comprising" or "comprising" or the like should not be construed as necessarily including the various elements or steps described in the specification, Or may be further comprised of additional components or steps.
Furthermore, terms including ordinals such as first, second, etc. used in this specification can be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.
Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals refer to like or similar elements throughout the several views, and redundant description thereof will be omitted.
In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. It is to be noted that the accompanying drawings are only for the purpose of facilitating understanding of the present invention, and should not be construed as limiting the scope of the present invention with reference to the accompanying drawings.
The human body dimensional measurement system and method according to an embodiment of the present invention obtains 3D human body shape information through a camera capable of instant shooting instead of an active scan method, and the human body (or body) selected by a user through a terminal. It can be measured. For example, the human body measurement system and method according to an embodiment of the present invention, based on the multi-view image information obtained by photographing the human body through a multi-camera installed to surround the human body, height, leg length, arm length, Measure the length and circumference of the main part of the body (body) such as thigh circumference, waist circumference, then measure the body part corresponding to the user's request or change the body part measurement point according to the user's request, In order to re-measure the changed measuring points, the information required to measure the specific area of the human body can be minimized and stored and transmitted.
In the following description, a human body dimension (eg, length and circumference information of a main body of a human body) is measured from a multi-view image of a human body photographed through a multi-camera surrounding the human body, and the measured human body dimension is stored and stored at low capacity. And a measurement method for allowing a user to directly manipulate measurement information of a specific human body part selected through a low specification terminal, will be described with reference to FIGS. 1 to 12.
1 is a block diagram showing the configuration of a human body size measurement system according to an embodiment of the present invention.
As shown in FIG. 1, a human body dimensional measurement system according to an exemplary embodiment of the present invention includes a
The measurement
The
Hereinafter, the configuration and operation of the human body measurement system according to an embodiment of the present invention will be described with reference to FIGS.
2 is an exemplary view showing a multi-camera applied to an apparatus for measuring anthropometry according to an embodiment of the present invention.
As shown in FIG. 2, the multi-camera 10 applied to the apparatus for measuring a human body size according to an exemplary embodiment of the present invention captures a human body by being composed of a plurality of cameras to surround the human body. The cameras may be arbitrarily distributed to maximize the dimensional information of the human body with respect to the human body, and center the global coordinate system located at the center of gravity of the multiple cameras for individual images obtained from the distributed cameras. Camera geometric calibration can also be performed. The
3 and 4 is an exemplary view showing a human body part measured according to an embodiment of the present invention.
As shown in FIG. 3, length information such as height, leg / arm length of the human body, and circumference information of main parts such as thighs and waist circumference are measured from the multi-view image captured by the multi-camera. In this case, the circumference information may be length information of a convex hull corresponding to each cross section of the human body, as shown in FIG. 4, for utilization of obesity management or tailored clothing.
Since the method for acquiring the multi-view image and the geometric correction information itself is a known technique, a detailed description thereof will be omitted. In addition, the contour restoration unit 203 separates the foreground region of the human body from the multi-view image using chroma key technology, restores the voxel appearance using the separated foreground silhouette information, and restores the human body from the restored voxel appearance. Three-dimensional skeleton information of the body can obtain information about the five parts of the body, arms, legs of the body.
On the other hand, since the voxel shape restored by the
5 is an exemplary diagram illustrating a visual hull reconstruction method through silhouette intersection of a multiview image.
6 is an exemplary diagram illustrating an error between a body part boundary and a body part boundary in an actual image according to a visual hull restoration result.
As shown in FIG. 6, the left leg is restored larger than the actual size by the right leg, and the depth boundary between the two legs obtained through z-buffering by projecting it on the corresponding image and the actual size. This can be confirmed by the difference between the color boundary generated between the two legs of the image. When restoring the appearance of the human body, the reduction of visual hull restoration precision due to self occlusion as shown in FIG. 6 is an inevitable part of the method using only the silhouette intersection of the multiview foreground region.
In the present invention, in order to solve the reduction in the precision of the cross-sectional measurement caused by the self occlusion, as shown in FIG. 7, two actual objects generated inside the foreground area of the multiview image by self occlusion (for example, For example, the color boundary information generated at the boundary of the left leg and the right leg) area is used.
FIG. 7 is an exemplary diagram illustrating a search line for improving restoration accuracy when a restoration error occurs due to self occlusion.
As illustrated in FIG. 7, an example in which boundary information of the actual surface of the
First, a first camera cam1 having a projection cross section for the most pixels and a second camera cam2 having a smallest projection cross section for the corresponding search line Ray are determined. The first and second cameras select cameras having a minimum dot product of the two camera direction information using the camera direction information of the camera looking at the object included in the search line and the geometric correction information of the individual cameras. Can be determined.
As shown in FIG. 8, the second camera cam2 shares surface color information corresponding to the cross section of the
8 is an exemplary diagram of boundary extraction of the
As shown in FIG. 8, the first camera cam1 when the pixels on which the cross section of the first camera cam1 is projected has surface color information corresponding to the cross section of the
The determination can be described by diagramming in the color space as shown in FIG.
9 is a diagram illustrating each of the search selection colors of FIG. 8 in a color space.
As shown in FIG. 9, the color of the cross section of the human body of the second camera cam2 and the color distribution of the cross section of the human body of the first camera cam1 may be expressed as shown in FIG. 9, and the human body of the first camera cam1. The cross-sectional pixels are inspected, and the color boundary of the pixel of the first camera cam1 can be easily found by comparing with the cross-sectional color of the human body of the second camera cam2. By applying this process to the cross sections sampled along the skeleton of each human body, the voxels can be improved by removing the voxels that are out of the improved correspondence points by the search lines of the cross sections for the individual cross sections, thereby improving the voxel restoration accuracy. On the basis of this, the index of the body parts of the skeletons and the restored voxels by body parts can be updated.
The multi-view mask
The measurement
10 is an exemplary view showing measurement data according to an embodiment of the present invention.
As shown in FIG. 10, the measurement data according to the embodiment of the present invention includes the restored voxel appearance, skeleton information for each body part, and a multi-view mask image, and includes a graphical user interface (GUI). It may further include a front view image for. For example, the
The voxel appearance information is generally expressed as NxNxN voxels in a three-dimensional space, and as the number of N increases, a detailed shape can be expressed, but there is a disadvantage in that the amount of data increases rapidly. In addition, since the measurement is performed based on the image, the higher the resolution of the image is, the more accurate measurement is possible, but also the increase in resolution in the use of a multiview image has the disadvantage of a sudden increase in the amount of data.
Therefore, in the present invention, using the voxel appearance information using the low resolution voxel precision and the high resolution multiview image to prevent the explosion of the measurement data capacity while maintaining the measurement accuracy at the measurement using the high resolution image and the detailed voxel precision Provide a method for To this end, in the present invention, the voxel appearance restoration information, the three-dimensional skeleton information for each part, the multi-view mask image indexed to the human body part, the front picture for inputting the user part selection through the user GUI, the geometric correction information of the multi-view image 5 Branch information may be stored and transmitted.
The extraction of the skeleton of the five body parts does not require a high-precision voxel appearance. Therefore, simple appearance information of the human body is restored using the voxel resolution of 128x128x128 level, and the 3D skeleton information is extracted (detected) by the appearance restoration unit 203 from the restored appearance. In this case, the presence or absence of a voxel in the voxel space is defined by (binary binarization), and thus the voxel appearance information can be recorded with data of approximately 260 KBytes. It can be defined as a continuous line consisting of three-dimensional points inside and outside the dog, so that skeleton information can be recorded with data of approximately 300 bytes.
In the case of a multi-view image, it is important information to determine the measurement accuracy of the present invention. Therefore, it is necessary to store index information of the foreground area with the highest resolution. The mask image in which the index of each region is recorded for each multiview image may be compressed and recorded. Assuming a high resolution image of 12M pixels or more, such as a digital single-lens reflex camera (DSLR) image, assuming that an average of about 2 line segments occurs per horizontal line for a 4000x3000 image, approximately 60 KByte for each multiview image Index information of five body parts can be stored as data. For example, when 15 multiview images are used, the entire multiview mask image information can be recorded with 1 MByte data.
In addition, a low resolution RGB image corresponding to the front view is generated for the user to intuitively select a region, and the generated region information of the body is stored through an alpha channel or a separate data channel in each generated pixel. When considering 0.4M pixel, which is a common smartphone resolution, an additional 1.5 MByte is required for BMP video.In case of saving the video through JPEG data compression, 150KByte data capacity is required. Is added.
Finally, geometric correction information of a multiview image should be recorded, and about 100 bytes of data are required for each image. In the case of 15 multiview images, a data capacity of 1.5 KBytes is required. That is, based on the above example, about 1.5MByte of measurement data need to be stored and transmitted for measuring the arbitrary part desired by the user terminal for one human body. In an environment, it can be transmitted without load.
The measurement data generated in this way is stored in the DB (database) 200, and can be accessed from a terminal such as a PC or a smart phone through a wired / wireless network through an authentication procedure such as login at the user's request. The terminal 300 provides the user with dimension measurement information of a desired human body part using the measured data transmitted in this way.
The terminal 300 receives the measurement data transmitted from the
The measurement
11 is an exemplary view illustrating an image of a human body front view displayed on a screen of a terminal (for example, a smartphone).
As shown in FIG. 11, the
The user-defined
12 is an exemplary view illustrating a process of measuring a site selected by a user.
As shown in FIG. 12, the user-defined
The position of the surface with the smallest distance from the center point for the entire multiview image becomes the three-dimensional intersection of the real part with respect to the search line. In this way, the intersection point of the entire search line can be found for each angle, and the circumference information of the corresponding area can be measured by measuring the length of the line connecting it.
The
Through the above example, the user can easily receive anthropometric information of any part desired by the user in the multi-view image in the user's environment.
As described above, the human body size measurement system and the method according to the embodiment of the present invention, based on the multi-view (Multiview) image information captured by the multiple cameras installed around the human body (for example, Information about the circumference of various parts of the human body may be measured, and the measured human body dimension may be provided through a terminal such as a smartphone. That is, the terminal may provide the user with the human body size (eg, circumference information of the portion desired by the user) of the portion desired by the user. For example, in a typical user environment such as a PC or a smartphone, the user can directly measure and utilize the length or circumference information of a desired body part. In other words, when purchasing clothes through home shopping or internet shopping, you can directly check the dimensions of the parts defined by the corresponding products and purchase clothes suitable for yourself. It can also be applied to general body management.
It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.
100: measurement data generator 200: database
300: terminal
Claims (16)
A multi-view mask image generation unit generating a multi-view mask image in which human body information is recorded for measuring a human body part in the user terminal based on the 3D human body shape information;
A transmitter for transmitting measured data including the reconstructed voxel appearance, skeleton information, and a multiview mask image;
And a terminal configured to receive the transmitted measurement data and to measure and display dimensions of a human body selected by a user based on the received measurement data.
Among the multi-cameras, the cross-sectional color distribution of the human body photographed by the first camera and the cross-sectional color distribution of the human body photographed by the second camera are detected to detect color boundaries of each cross-section of the human body, and based on the detected color boundaries. The human body dimensional measurement system, characterized in that to improve the voxel restoration accuracy by removing the voxels out of the improved corresponding point for each search line of the cross section of the human body.
And a multi-view mask image in which the human body part is indexed by adding an index to an area corresponding to the human body part based on the human body part information.
And an area within a binned foreground area of the multi-view image.
The human body dimension measurement system, characterized in that for transmitting the geometric correction information of the human body front view image and the multi-view image that the user can select each human body part with the measurement data.
A measurement data input unit for receiving the transmitted measurement data and parsing the received measurement data to perform a user defined measurement service;
A user GUI processor configured to display a human body front view image in the parsed measurement data on a screen, and detect a human body part selected by the user from the displayed human body front view image;
A user defined part measuring unit measuring a dimension of the human body part selected by the user;
And an output unit configured to display the measured anatomical dimensions on the screen or to store them in a database.
And a circumference of the human body part based on length information of a convex hull corresponding to each cross section of the human body part.
And a terminal configured to receive the transmitted measurement data and to measure and display dimensions of a human body selected by a user based on the received measurement data.
Generating a multi-view mask image in which human body information is recorded for measuring a human body part in a user terminal based on the 3D human body shape information;
Transmitting measurement data including the reconstructed voxel appearance and skeleton information and a multiview mask image;
And receiving the transmitted measurement data through the terminal, and measuring and displaying the dimensions of the body part selected by the user based on the received measurement data.
Among the multi-cameras, the cross-sectional color distribution of the human body photographed by the first camera and the cross-sectional color distribution of the human body photographed by the second camera are detected to detect color boundaries of each cross-section of the human body, and based on the detected color boundaries. The method of measuring the human body size of the human body according to the search line of the improved cross-sectional area by removing the improved voxel out of the corresponding point.
And generating a multi-view mask image in which the human body part is indexed by adding an index to a region corresponding to the human body part based on the human body part information.
And an area within a binned foreground area of the multi-view image.
A human body dimension measurement method further comprising geometric correction information of the human body front view image and the multi-view image from which a user can select each human body part.
Receiving the transmitted measurement data and parsing the received measurement data to perform a user defined measurement service;
Displaying a human body front view image in the parsed measurement data on a screen, and detecting a human body part selected by a user from the displayed human body front view image;
Measuring dimensions of the body part selected by the user;
And displaying the measured anatomical dimensions on the screen or storing them in a database.
Measuring the circumference of the human body part based on length information of a convex hull corresponding to each cross section of the human body part.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101580506B1 (en) | 2014-10-20 | 2015-12-28 | 최영진 | Apparatus and method of measuring body size of customer on the internet |
| US10004429B2 (en) | 2014-01-21 | 2018-06-26 | My Size Israel 2014 Ltd. | Method and system for measuring a path length using a handheld electronic device |
| KR101878095B1 (en) * | 2017-02-07 | 2018-07-12 | 동의대학교 산학협력단 | Method and device of Estimating the Human Height in Using Depth Image OF FRONT VIEW |
| JP6424309B1 (en) * | 2018-08-15 | 2018-11-14 | 裕樹 有光 | Program and apparatus for generating a three-dimensional model based on measurement values |
| KR20190002071A (en) | 2017-06-29 | 2019-01-08 | 주식회사 케이피앤피인터내셔널 | Flexure measuring device of body |
| JP2020080020A (en) * | 2018-11-12 | 2020-05-28 | 裕樹 有光 | Program and device for mutually generating size measurement value and depth image |
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2012
- 2012-01-06 KR KR1020120001990A patent/KR20130081037A/en not_active Application Discontinuation
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10004429B2 (en) | 2014-01-21 | 2018-06-26 | My Size Israel 2014 Ltd. | Method and system for measuring a path length using a handheld electronic device |
| KR101580506B1 (en) | 2014-10-20 | 2015-12-28 | 최영진 | Apparatus and method of measuring body size of customer on the internet |
| KR20160046286A (en) | 2014-10-20 | 2016-04-28 | 최영진 | Apparatus and method for measuring size of part of body using smart phone on the internet |
| KR101878095B1 (en) * | 2017-02-07 | 2018-07-12 | 동의대학교 산학협력단 | Method and device of Estimating the Human Height in Using Depth Image OF FRONT VIEW |
| KR20190002071A (en) | 2017-06-29 | 2019-01-08 | 주식회사 케이피앤피인터내셔널 | Flexure measuring device of body |
| JP6424309B1 (en) * | 2018-08-15 | 2018-11-14 | 裕樹 有光 | Program and apparatus for generating a three-dimensional model based on measurement values |
| JP2020027526A (en) * | 2018-08-15 | 2020-02-20 | 裕樹 有光 | Program and device for generating three-dimensional model based on size measurement value |
| JP2020080020A (en) * | 2018-11-12 | 2020-05-28 | 裕樹 有光 | Program and device for mutually generating size measurement value and depth image |
| WO2020141657A1 (en) * | 2019-01-03 | 2020-07-09 | 엘지전자 주식회사 | Body measurement device, and control method therefor |
| US11375922B2 (en) | 2019-01-03 | 2022-07-05 | Lg Electronics Inc. | Body measurement device and method for controlling the same |
| KR102118723B1 (en) * | 2019-10-17 | 2020-06-04 | 메디컬아이피 주식회사 | Method for analyzing abdominal image and apparatus therefor |
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