Fast scan method of digital speckle and three-dimensional human body

WANG Yong-xin; LU Bing-heng; LIANG Jin; FENG Chao; LIU Shifan

doi:10.3788/OPE.20162413.0551

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Fast scan method of digital speckle and three-dimensional human body

更新时间：2020-08-13

- Fast scan method of digital speckle and three-dimensional human body
- Optics and Precision Engineering Vol. 24, Issue 10s, Pages: 551-558(2016)
- 作者机构：
  
  1. 西安交通大学机械工程学院, 机械制造系统工程国家重点实验室,陕西西安,710049
  2. 广东顺德西安交通大学研究院,广东佛山,528300
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20162413.0551
  CLC： TP23;TB811
- Received：20 April 2016，
  
  Revised：17 May 2016，
  
  Published：14 November 2016
- 稿件说明：
移动端阅览
王永信, 卢秉恒, 梁晋等. 数字散斑三维人体快速扫描方法[J]. 光学精密工程, 2016,24(10s): 551-558

WANG Yong-xin, LU Bing-heng, LIANG Jin etc. Fast scan method of digital speckle and three-dimensional human body[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 551-558
王永信, 卢秉恒, 梁晋等. 数字散斑三维人体快速扫描方法[J]. 光学精密工程, 2016,24(10s): 551-558 DOI： 10.3788/OPE.20162413.0551.

WANG Yong-xin, LU Bing-heng, LIANG Jin etc. Fast scan method of digital speckle and three-dimensional human body[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 551-558 DOI： 10.3788/OPE.20162413.0551.

摘要

为了弥补传统人体扫描方式难以实现快速、全身人体扫描的不足，提出了一种数字散斑三维人体快速扫描方法。首先，提出了一种基于种子点的数字图像相关匹配算法，以求解相关匹配非线性优化初值。其次，采用基于摄影测量的大视场多相机标定策略，并根据双目立体视觉原理重建人体三维点云。最后，根据以上关键技术并借助VS2010开发环境，研制出XTBodyscan三维人体快速扫描系统。为验证本文方法的可行性和标定精度，实施了4次人体扫描和10组系统标定实验。实验结果表明，本文方法能够在0.1s内完成人体全身扫描，标定误差小于0.1 pixels，可以实现人体全身、快速、细节特征保持的三维人体扫描，具有非接触、无伤害和体验度高等优点，为人体快速3D反求提供了一种有效方法。

Abstract

To make up for disadvantage of traditional human body scan way that it is difficult to realize the fast and whole body scan

fast scan method of digital speckle and three-dimensional human body is put forward. Concerned matching algorithm of digital image on the basis of seed point is put forward to solve initial value of nonlinear optimization of concerned matching. Adopt large visual field and multiple camera calibration strategy based on photogrammetry

and reestablish three-dimensional point cloud of human body according to binocular stereoscopic vision theory. Make use of VS2010 development environment

and develop XTBodyscan three-dimensional human body fast scan system. 4 human body scans and 10 groups of system calibration experiments are implemented to verify feasibility and calibration accuracy of the scan method. Experimental result shows that method in this paper can finish the whole body scan of human body within 0.1s and calibration error is lower than 0.1pixels. Three-dimensional human body scan of the whole body with fast speed and detail feature kept can be realized

having advantage of non-contact

no damage and high experience

which provides an effective method for fast 3D reverse engineering of human body.

关键词

Keywords

references

SZELISKI R.Computer vision:algorithms and applications[M]. London:Springer Science & Business Media, 2010.

LANMAN D, TAUBIN G. Build your own 3D scanner:3D photography for beginners[C]. ACM SIGGRAPH 2009 Courses,New York, 2009:8.

SIMMONS K P.Body measurement techniques:a comparison of three-dimensional body scanning and physical anthropometric methods[D]. North Carolina:North Carolina State University, 2001.

CHOATE A G. Optical and digital processing techniques in a machine vision metrology system[J].Optical Engineering, 1989, 28(12):281311-281311.

PINTI A, RENESSON J L, LEBOUCHER J,et al.. Inertia parameter calculation using a SYMCAD optical scanner[J]. Computer Methods in Biomechanics and Biomedical Engineering, 2005, 8(S1):213-214.

SIMS R E, MARSHALL R, GYI D E,et al.. Collection of anthropometry from older and physically impaired persons:Traditional methods versus TC23D body scanner[J]. International Journal of Industrial Ergonomics, 2012, 42(1):65-72.

GROGAN S, GILL S, BROWNBRIDGE K,et al.. Women's long-term reactions to whole-body scanning a mixed methods approach[J]. Clothing and Textiles Research Journal, 2016, 34(1):61-73.

LEŠNIK B, ŽVAN M. The influence of body dimensions on success in younger categories in alpine skiing[J].Research in Physical Education, Sport & Health, 2014, 3(2):3-8.

XU B G, FREELAND J H, PEPPER M R,et al.. Evaluation of adult body adiposity, size, and shape by stereovision imaging[J]. Journal of Testing and Evaluation, 2012, 41(1):1-10.

ISTOOK C L, HWANG S J. 3D body scanning systems with application to the apparel industry[J].Journal of Fashion Marketing and Management:An International Journal, 2001, 5(2):120-132.

RODRÍGUEZ J C, SERGIYENKO O Y, PRECIADO L C B,et al.. Optical monitoring of scoliosis by 3D medical laser scanner[J]. Optics and Lasers in Engineering, 2014, 54:175-186.

CLARKSON S, WHEAT J, HELLER B,et al.. Assessing the suitability of the Microsoft Kinect for calculating person specific body segment parameters[J]. Computer Vision-ECCV 2014 Workshops, 2014:372-385.

GU B F, LIU G L. Research on structural design of pants and pattern generation system[J].Journal of Multimedia, 2013, 8(6):809-815.

王永进. 动态人体尺寸的测量方法[J]. 纺织学报, 2013, 34(4):104-110. WANG Y J. Study of body anthropometrical method in motion state[J]. Journal of Textile Research, 2013, 34(4):104-110.(in Chinese)

YU W, NG R, YAN S. CubiCam:a new approach of 3D body scanning system[J].Journal of Hong Kong Polytechnic University, 2002, 28:55-62.

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