CN110633382B - Automatic carpal plane searching method based on three-dimensional human body scanning - Google Patents
Automatic carpal plane searching method based on three-dimensional human body scanning Download PDFInfo
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- CN110633382B CN110633382B CN201910681650.XA CN201910681650A CN110633382B CN 110633382 B CN110633382 B CN 110633382B CN 201910681650 A CN201910681650 A CN 201910681650A CN 110633382 B CN110633382 B CN 110633382B
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Abstract
The invention discloses a carpal plane automatic searching method based on three-dimensional human body scanning, which comprises the following steps: s10, establishing a three-dimensional human body model; s20, establishing a first search area based on the wrist proportion of the human body; s30, establishing a tangent plane which is vertical to the axial direction of the forearm in the first search area, and moving the tangent plane to obtain a group of section planes of the forearm in the first search area; s40, establishing a second search area towards the palm direction by taking the section plane with the shortest circumference as a starting point; s50, when Max1/Min > a1, the position where Max1 is located is the palm, the position where Min is located is the carpal bone, Max1 is the perimeter of the section plane with the longest perimeter in the second search area, Min is the perimeter of the section plane with the shortest perimeter in the group of section planes, and a1 is a first preset value. The automatic carpal plane searching method based on three-dimensional human body scanning can effectively improve the detection efficiency, greatly reduce the detection error and improve the detection precision.
Description
Technical Field
The invention relates to the technical field of human body feature point identification, in particular to a carpal bone plane automatic searching method based on three-dimensional human body scanning.
Background
With the development of virtual reality, computer aided design shows its advantages in the process of developing clothing products. In this case, the virtual 3D to 2D garment prototyping process is considered to be an effective way to increase the level of automation of garment design. The 3D to 2D prototyping can be performed completely in a virtual environment with the possibility of complete automation. However, one of the main problems to be solved by its automation is the automatic identification of key feature points of the human body.
Automatic identification of human feature points is a system work because different human feature points are defined differently. Currently, most researchers in this field firstly analyze the identification of wrist position from the most prominent carpal bone (mppsc), which is a characteristic position of the human body, widely recognized by fashion designers in the design process of clothing products, and has a wide application prospect in developing clothing products (such as shirts, jackets and jackets) and personalized wearable devices (such as watches and wristbands). Most of the existing carpal bone searching methods have the problems of low measuring efficiency and insufficient precision.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide the automatic carpal plane searching method based on three-dimensional human body scanning, which has high efficiency and high positioning precision. The technical scheme is as follows:
a carpal plane automatic searching method based on three-dimensional human body scanning comprises the following steps:
s10, establishing a three-dimensional human body model;
s20, establishing a first search area based on the wrist proportion of the human body;
s30, establishing a tangent plane which is vertical to the axial direction of the forearm in the first search area, and moving the tangent plane to obtain a group of section planes of the forearm in the first search area;
s40, establishing a second search area towards the palm direction by taking the section plane with the shortest circumference as a starting point;
s50, when Max1/Min > a1, the position where Max1 is located is the palm, the position where Min is located is the carpal bone, Max1 is the perimeter of the section plane with the longest perimeter in the second search area, Min is the perimeter of the section plane with the shortest perimeter in the group of section planes, and a1 is a first preset value.
As a further improvement of the invention, the length of the second search area is 2.5cm, and a1 is 1.1.
As a further improvement of the present invention, after the step S50, the method further includes:
s60, when Max1/Min is not more than a1, a third search area is established towards the palm direction by taking the position of Max1 as a starting point, when Max2/Min > a2, the position of Max2 is the palm, the position of Max1 is the carpal bone, wherein Max2 is the perimeter of a section plane with the longest inner perimeter of the third search area, and a2 is a second preset value.
As a further improvement of the invention, the length of the third search area is 2.5cm, and a2 is 1.15.
As a further improvement of the present invention, after the step S60, the method further includes:
s70, when Max2/Min is not more than a2, a fourth search area is established towards the palm direction by taking the position of Max2 as a starting point, when Max3 is more than Max2, the position of Max2 is the carpal bone, otherwise, the position of Max3 is the carpal bone.
As a further development of the invention, the fourth search area has a length of 2.5 cm.
As a further improvement of the present invention, the step S20 specifically includes:
and establishing a first search area in 7.5CM above and below the estimated position of the carpal bones based on the proportion of the wrists of the human body.
As a further improvement of the invention, the estimated position of the carpal bones is 80% of the front end of the arm.
The invention has the beneficial effects that:
the automatic carpal plane searching method based on three-dimensional human body scanning can effectively improve the detection efficiency, greatly reduce the detection error and improve the detection precision.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic diagram of an automatic carpal plane search method based on three-dimensional human body scanning according to an embodiment of the present invention.
Detailed Description
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
Examples
As shown in fig. 1, the present invention provides a method for automatically searching a carpal plane based on three-dimensional human body scanning, the method comprising the following steps:
s10, establishing a three-dimensional human body model;
s20, establishing a first search area based on the wrist proportion of the human body;
the method specifically comprises the following steps: and establishing a first search area in 7.5CM above and below the estimated position of the carpal bones based on the proportion of the wrists of the human body. Preferably, the estimated position of the carpal bones is 80% of the front end of the arm.
S30, establishing a tangent plane which is vertical to the axial direction of the forearm in the first search area, and moving the tangent plane to obtain a group of section planes of the forearm in the first search area;
s40, establishing a second search area towards the palm direction by taking the section plane with the shortest circumference as a starting point;
in this embodiment, the second search area is 2.5cm in length.
S50, when Max1/Min > a1, the position where Max1 is located is the palm, the position where Min is located is the carpal bone, Max1 is the perimeter of the section plane with the longest perimeter in the second search area, Min is the perimeter of the section plane with the shortest perimeter in the group of section planes, and a1 is a first preset value.
In the present embodiment, a1 is 1.1.
Preferably, step S50 is followed by:
s60, when Max1/Min is not more than a1, a third search area is established towards the palm direction by taking the position of Max1 as a starting point, when Max2/Min > a2, the position of Max2 is the palm, the position of Max1 is the carpal bone, wherein Max2 is the perimeter of a section plane with the longest inner perimeter of the third search area, and a2 is a second preset value.
In this embodiment, the third search area is 2.5cm in length and a2 is 1.15.
Preferably, step S60 is followed by:
s70, when Max2/Min is not more than a2, a fourth search area is established towards the palm direction by taking the position of Max2 as a starting point, when Max3 is more than Max2, the position of Max2 is the carpal bone, otherwise, the position of Max3 is the carpal bone.
In this embodiment, the fourth search area is 2.5cm in length.
The automatic carpal plane searching method based on three-dimensional human body scanning can effectively improve the detection efficiency, greatly reduce the detection error and improve the detection precision.
The above embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of the present invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.
Claims (8)
1. A carpal plane automatic searching method based on three-dimensional human body scanning is characterized by comprising the following steps:
s10, establishing a three-dimensional human body model;
s20, establishing a first search area based on the wrist proportion of the human body;
s30, establishing a tangent plane which is vertical to the axial direction of the forearm in the first search area, and moving the tangent plane to obtain a group of section planes of the forearm in the first search area;
s40, establishing a second search area towards the palm direction by taking the section plane with the shortest circumference as a starting point;
s50, when Max1/Min > a1, the position where Max1 is located is the palm, the position where Min is located is the carpal bone, Max1 is the perimeter of the section plane with the longest perimeter in the second search area, Min is the perimeter of the section plane with the shortest perimeter in the group of section planes, and a1 is a first preset value.
2. The method as claimed in claim 1, wherein the length of the second search area is 2.5cm, and a1 is 1.1.
3. The method for automatically searching carpal bone plane based on three-dimensional human body scanning as claimed in claim 1, wherein said step S50 is followed by further comprising:
s60, when Max1/Min is not more than a1, a third search area is established towards the palm direction by taking the position of Max1 as a starting point, when Max2/Min > a2, the position of Max2 is the palm, the position of Max1 is the carpal bone, wherein Max2 is the perimeter of a section plane with the longest inner perimeter of the third search area, and a2 is a second preset value.
4. The method as claimed in claim 3, wherein the length of the third search area is 2.5cm, and a2 is 1.15.
5. The method as claimed in claim 3, wherein the step S60 is followed by further steps of:
s70, when Max2/Min is not more than a2, a fourth search area is established towards the palm direction by taking the position of Max2 as a starting point, when Max3 is more than Max2, the position of Max2 is the carpal bone, otherwise, the position of Max3 is the carpal bone.
6. The method as claimed in claim 5, wherein the length of the fourth search area is 2.5 cm.
7. The method as claimed in claim 1, wherein the step S20 specifically comprises:
a first search area is established within 7.5CM above and 7.5CM below the estimated position of the carpal bones based on the ratio of the wrists of the human body.
8. The method as claimed in claim 7, wherein the estimated position of the carpal tunnel is 80% of the front end of the arm.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101901339A (en) * | 2010-07-30 | 2010-12-01 | 华南理工大学 | Hand movement detecting method |
| CN103021027A (en) * | 2011-09-21 | 2013-04-03 | 蔡明俊 | Characteristic data structure of electronic human model |
| CN107589850A (en) * | 2017-09-26 | 2018-01-16 | 深圳睛灵科技有限公司 | A kind of recognition methods of gesture moving direction and system |
| CN108305321A (en) * | 2018-02-11 | 2018-07-20 | 谢符宝 | A kind of three-dimensional human hand 3D skeleton patterns real-time reconstruction method and apparatus based on binocular color imaging system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015050895A1 (en) * | 2013-10-02 | 2015-04-09 | Exsomed Holding Company Llc | Full wrist fusion device |
| US10818011B2 (en) * | 2017-12-29 | 2020-10-27 | Shenzhen Institutes Of Advanced Technology Chinese Academy Of Sciences | Carpal segmentation and recognition method and system, terminal and readable storage medium |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101901339A (en) * | 2010-07-30 | 2010-12-01 | 华南理工大学 | Hand movement detecting method |
| CN103021027A (en) * | 2011-09-21 | 2013-04-03 | 蔡明俊 | Characteristic data structure of electronic human model |
| CN107589850A (en) * | 2017-09-26 | 2018-01-16 | 深圳睛灵科技有限公司 | A kind of recognition methods of gesture moving direction and system |
| CN108305321A (en) * | 2018-02-11 | 2018-07-20 | 谢符宝 | A kind of three-dimensional human hand 3D skeleton patterns real-time reconstruction method and apparatus based on binocular color imaging system |
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