TY - JOUR
T1 - A cost-effective single-shot structured light system for 3d shape measurement
AU - Zhong, Fuqiang
AU - Kumar, Ravi
AU - Quan, Chenggen
N1 - Funding Information:
Manuscript received May 2, 2019; accepted May 7, 2019. Date of publication May 9, 2019; date of current version August 6, 2019. This work was supported in part by the National University of Singapore and in part by the China Scholarship Council. The associate editor coordinating the review of this paper and approving it for publication was Dr. Amitava Chatterjee. (Corresponding author: Chenggen Quan.) The authors are with the Department of Mechanical Engineering, National University of Singapore, Singapore 117576 (e-mail: mpeqcg@nus.edu.sg). Digital Object Identifier 10.1109/JSEN.2019.2915986
Publisher Copyright:
© 2001-2012 IEEE.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - Single-shot three-dimensional (3D) shape measurement techniques have attracted extensive researches, as they are suitable for dynamic measurement. In this study, a cost-effective single-shot structured light system (CES-SLS) is proposed for 3D shape measurement by using a color camera and a normal projector. With the aid of two planar mirrors and an isosceles right-angle mirror, a single color camera functions as a binocular vision. A single-shot color random speckle pattern (CRSP) is used to encode the object by the normal projector. The dense corresponding points (DCP) are derived by the spatial-temporal correlation of RGB image subsets instead of the spatial correlation of gray image subsets in the conventional method. An inverse compositional Gaussian Newton (IC-GN) iteration method with the second-order shape function is then introduced to find the sub-pixel corresponding points (CP). Furthermore, a geometrical 3D recovery method is presented to calculate the 3D point by minimizing the re-projection error. The experimental results demonstrate the comparative advantages of the proposed CES-SLS against the system using a single-shot random speckle pattern (RSP) and the curve fitting sub-pixel method in the aspects of measurement accuracy and noise robustness. In addition, the re-projection error of each 3D point from the geometrical method is smaller than that of the conventional mid-point.
AB - Single-shot three-dimensional (3D) shape measurement techniques have attracted extensive researches, as they are suitable for dynamic measurement. In this study, a cost-effective single-shot structured light system (CES-SLS) is proposed for 3D shape measurement by using a color camera and a normal projector. With the aid of two planar mirrors and an isosceles right-angle mirror, a single color camera functions as a binocular vision. A single-shot color random speckle pattern (CRSP) is used to encode the object by the normal projector. The dense corresponding points (DCP) are derived by the spatial-temporal correlation of RGB image subsets instead of the spatial correlation of gray image subsets in the conventional method. An inverse compositional Gaussian Newton (IC-GN) iteration method with the second-order shape function is then introduced to find the sub-pixel corresponding points (CP). Furthermore, a geometrical 3D recovery method is presented to calculate the 3D point by minimizing the re-projection error. The experimental results demonstrate the comparative advantages of the proposed CES-SLS against the system using a single-shot random speckle pattern (RSP) and the curve fitting sub-pixel method in the aspects of measurement accuracy and noise robustness. In addition, the re-projection error of each 3D point from the geometrical method is smaller than that of the conventional mid-point.
KW - 3D shape measurement
KW - Structured light system
KW - color random speckle pattern
KW - single shot
KW - stereo vision
UR - http://www.scopus.com/inward/record.url?scp=85066998890&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2019.2915986
DO - 10.1109/JSEN.2019.2915986
M3 - Article
AN - SCOPUS:85066998890
VL - 19
SP - 7335
EP - 7346
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
SN - 1530-437X
IS - 17
M1 - 8710257
ER -