Single-Shot, Pixel-Encoded Strip Patterns for High-Resolution 3D Measurement

被引:1
作者
Elahi, Ahsan [1 ]
Zhu, Qidan [1 ]
Lu, Jun [1 ]
Hammad, Zahid [2 ]
Bilal, Muhammad [1 ]
Li, Yong [1 ]
机构
[1] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, Harbin 150001, Peoples R China
[2] Dept Informat & Commun Engn, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive grid adjustment; 3D measurement; grid-index; high-resolution; M-arrays; pixel-encoded; pseudo-random sequence; single-shot; stripe indexing; structured light; STRUCTURED-LIGHT; SHAPE MEASUREMENT; PROJECTION PROFILOMETRY; ACQUISITION; VISION;
D O I
10.3390/photonics10111212
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In this research, we combined two distinct, structured light methods, the single-shot pseudo-random sequence-based approach and the time-multiplexing stripe indexing method. As a result, the measurement resolution of the single-shot, spatially encoded, pseudo-random sequence-based method improved significantly. Since the time-multiplexed stripe-indexed-based techniques have a higher measurement resolution, we used varying stripes to enhance the measurement resolution of the pseudo-random sequence-based approaches. We suggested a multi-resolution 3D measurement system that consisted of horizontal and vertical stripes with pixel sizes ranging from 8 x 8 to 16 x 16. We used robust pseudo-random sequences (M-arrays) to controllably distribute various stripes in a pattern. Since single-shape primitive characters only contribute one feature point to the projection pattern, we used multiple stripes instead of single-shape primitive symbols. However, numerous stripes will contribute multiple feature points. The single character-based design transforms into an increased featured size pattern when several stripes are employed. Hence, the projection pattern contains a much higher number of feature points. So, we obtained a high-resolution measurement. Each stripe in the captured image is located using adaptive grid adjustment and stripe indexing techniques. The triangulation principle is used to measure 3D.
引用
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页数:29
相关论文
共 77 条
[1]  
Ahsan E., 2023, Coded Optical Imaging
[2]  
Albitar C, 2007, IEEE IMAGE PROC, P3325
[3]  
Albitar C, 2007, IEEE I CONF COMP VIS, P1207
[4]  
[Anonymous], 2009, Digital Image Processing, DOI DOI 10.1117/1.3115362
[5]  
[Anonymous], 2008, Image Processing, Analysis, and Machine Vision
[6]  
Bell T., 1999, Wiley Encyclopedia of Electrical and Electronics Engineering, P1, DOI DOI 10.1002/047134608X.W8298
[7]   Vision processing for realtime 3-D data acquisition based on coded structured light [J].
Chen, S. Y. ;
Li, Y. F. ;
Zhang, Jianwei .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2008, 17 (02) :167-176
[8]   Realtime structured light vision with the principle of unique color codes [J].
Chen, S. Y. ;
Li, Y. F. ;
Zhang, Jianwei .
PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-10, 2007, :429-434
[9]   Dense stereo range sensing with marching pseudo-random patterns [J].
Desjardins, Danick ;
Payeur, Pierre .
FOURTH CANADIAN CONFERENCE ON COMPUTER AND ROBOT VISION, PROCEEDINGS, 2007, :216-+
[10]  
Durdle NG, 1998, UNIVERSITY AND INDUSTRY - PARTNERS IN SUCCESS, CONFERENCE PROCEEDINGS VOLS 1-2, P874, DOI 10.1109/CCECE.1998.685637