吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊1): 344-347.

• paper • Previous Articles     Next Articles

Coding method for high-density combination structured light

GAO Li-li1, LU Shao-fang2, GUO Fu-qiang2, ZHANG Chao2   

  1. 1. School of Engineering and Technical, Jilin Agriculture University, Changchun 130118, China;
    2. College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2011-02-27 Online:2011-09-01 Published:2011-09-01

Abstract:

To improve sampling density and curtail sampling instant,coding method for non-contact combination structured light was proposed.Firstly,a series of Gray code and binary image are constructed by computer,and projected onto the object to be tested according to a certain chronological order.Then,extracted the edge of gray code and the center of white binary stripes,and decoded by setting point on them as the sampling point.Through increasing the binary stripes,the decoding error of the gray code was eliminated,the rich features wrere gotten,and the tree-dimensional reconstruction of the object was easily built.Experimental results show that this technique simplifies the grating projection steps,improves the accuracy of reconstruction,and has good real-time performance and effectiveness.

Key words: information processing, structured light, 3D reconstruction, Gray code, binary stripe

CLC Number: 

  • TP242.6


[1] Yang Rong-qian,Wei Sheng-cheng,Chen Ya-zhu,et al.Robust and accurate surface measurement usings tructured light
[J].IEEE Tans.Instrumentation and Measurement,2008,57(6):1275-1280.

[2] Salvi J,Pagès J,Batlle J.Pattern codification strategies in structured light systems
[J].Pattern Recognition,2004,37(4):827-849.

[3] Inokuchi S,Sato K,Matsuda F.Range imaging system for3-D object recognition
[C] ∥Proceedings oft he International Conference on Pattern Recognition,M ontreal,1984:806-808.

[4] Yu Xiao-yang,Wu Hai-bin.Structured-light-based3 D measurement technique by gray code and lineshift fringe
[J].Chinese Journal of Scientific Instrument,2008,29(4):702-704.

[5] 马颂德,张正友。计算机视觉计算理论与算法基础
[M].北京:科学出版社,1998.

[6] 胡志勇,张秀芬,蔚刚,等。基于灰度图像的三维曲面重建系统设计
[J].计算机技术与发展,2007,17 (10):61-64. Hu Zhi-yong,Zhang Xiu-fen,Yu Gang,et al.Designo f3D reconstruction based on gray image
[J].Computer Technology and Development,2007,17(10): 61-64.

[7] Zisserman H R.A Multiple View Geometry in Computer Vision
[M].Cambridge:Cambridge UniversityP ress,2000.

[8] 王芳容,赵丁选,尚涛,等。应用计算机视觉技术进行物体三维重构
[J].吉林大学学报:工学版,2008,38 (6):1424-1428. Wang Fang-rong,Zhao Ding-xuan,Shang Tao,et al.3 D object reconfiguration by computer vision
[J].J ournal of Jilin University(Engineering and Technology Edition),2008,38(6):1424-1428.

[9] Koninckx T P,Gool L V.Real-time range acquisitionb y adaptive structured light
[J].IEEE Trans PatternA nalysis and Machine Intelligence,2006,28(3):432-445.

[10] 张吴明,钟约先,由志福,等。基于结构光编码的相展 开方法
[J].光学技术,2002,28(5):404-406.Z hang Wu-ming,Zhong Yue-xian,You Zhi-fu,et al.A phase unwrapping method based on structuredl ight binary code
[J].Optical Technique,2002,28 (5):404-406.

[1] YING Huan,LIU Song-hua,TANG Bo-wen,HAN Li-fang,ZHOU Liang. Efficient deterministic replay technique based on adaptive release strategy [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1917-1924.
[2] LIU Zhong-min,WANG Yang,LI Zhan-ming,HU Wen-jin. Image segmentation algorithm based on SLIC and fast nearest neighbor region merging [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1931-1937.
[3] SHAN Ze-biao,LIU Xiao-song,SHI Hong-wei,WANG Chun-yang,SHI Yao-wu. DOA tracking algorithm using dynamic compressed sensing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1938-1944.
[4] YAO Hai-yang, WANG Hai-yan, ZHANG Zhi-chen, SHEN Xiao-hong. Reverse-joint signal detection model with double Duffing oscillator [J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[5] QUAN Wei, HAO Xiao-ming, SUN Ya-dong, BAI Bao-hua, WANG Yu-ting. Development of individual objective lens for head-mounted projective display based on optical system of actual human eye [J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[6] LIN Jin-hua, WANG Yan-jie, WANG Lu, YAO Yu. Real-time surface reconstruction based global camera pose optimization [J]. 吉林大学学报(工学版), 2018, 48(3): 909-918.
[7] CHEN Mian-shu, SU Yue, SANG Ai-jun, LI Pei-peng. Image classification methods based on space vector model [J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[8] CHEN Tao, CUI Yue-han, GUO Li-min. Improved algorithm of multiple signal classification for single snapshot [J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[9] MENG Guang-wei, LI Rong-jia, WANG Xin, ZHOU Li-ming, GU Shuai. Analysis of intensity factors of interface crack in piezoelectric bimaterials [J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[10] LIN Jin-hua, WANG Yan-jie, SUN Hong-hai. Improved feature-adaptive subdivision for Catmull-Clark surface model [J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[11] WANG Ke, LIU Fu, KANG Bing, HUO Tong-tong, ZHOU Qiu-zhan. Bionic hypocenter localization method inspired by sand scorpion in locating preys [J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
[12] YU Hua-nan, DU Yao, GUO Shu-xu. High-precision synchronous phasor measurement based on compressed sensing [J]. 吉林大学学报(工学版), 2018, 48(1): 312-318.
[13] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[14] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
[15] TANG Kun, SHI Rong-hua. Detection of wireless sensor network failure area based on butterfly effect signal [J]. 吉林大学学报(工学版), 2017, 47(6): 1939-1948.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!