Accurate and Robust Surface Measurement Using Optimal Structured Light Tracking Method
Summary :
Structured light vision systems are based on the fact that the pixel location of light in an image has a unique association with the object depth. However, their applications are mainly limited to the properties of the object surface and the lighting conditions. This paper presents a robust vision system for accurate acquisition of 3-D surface data based on optimal structured light. To achieve depth measurement for a dynamic scene, the data acquisition must be performed with only a single image. Our special arrangement makes the image of the light stripe remaining sharp while the background becomes blurred. Moreover, a dynamic programming approach is proposed to track the optimal path while the laser beam is invisible or divergent under extreme condition. The principle and necessary mathematics for implementing the algorithm are presented. The robustness of the system against uncalibrated errors is demonstrated.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.2 pp.293-299
- Publication Date
- 2010/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.293
- Type of Manuscript
- PAPER
- Category
- Computation and Computational Models
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Shi WANG, Hyongsuk KIM, Chun-Shin LIN, Hongxin CHEN, "Accurate and Robust Surface Measurement Using Optimal Structured Light Tracking Method" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 2, pp. 293-299, February 2010, doi: 10.1587/transinf.E93.D.293.
Abstract: Structured light vision systems are based on the fact that the pixel location of light in an image has a unique association with the object depth. However, their applications are mainly limited to the properties of the object surface and the lighting conditions. This paper presents a robust vision system for accurate acquisition of 3-D surface data based on optimal structured light. To achieve depth measurement for a dynamic scene, the data acquisition must be performed with only a single image. Our special arrangement makes the image of the light stripe remaining sharp while the background becomes blurred. Moreover, a dynamic programming approach is proposed to track the optimal path while the laser beam is invisible or divergent under extreme condition. The principle and necessary mathematics for implementing the algorithm are presented. The robustness of the system against uncalibrated errors is demonstrated.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.293/_p
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@ARTICLE{e93-d_2_293,
author={Shi WANG, Hyongsuk KIM, Chun-Shin LIN, Hongxin CHEN, },
journal={IEICE TRANSACTIONS on Information},
title={Accurate and Robust Surface Measurement Using Optimal Structured Light Tracking Method},
year={2010},
volume={E93-D},
number={2},
pages={293-299},
abstract={Structured light vision systems are based on the fact that the pixel location of light in an image has a unique association with the object depth. However, their applications are mainly limited to the properties of the object surface and the lighting conditions. This paper presents a robust vision system for accurate acquisition of 3-D surface data based on optimal structured light. To achieve depth measurement for a dynamic scene, the data acquisition must be performed with only a single image. Our special arrangement makes the image of the light stripe remaining sharp while the background becomes blurred. Moreover, a dynamic programming approach is proposed to track the optimal path while the laser beam is invisible or divergent under extreme condition. The principle and necessary mathematics for implementing the algorithm are presented. The robustness of the system against uncalibrated errors is demonstrated.},
keywords={},
doi={10.1587/transinf.E93.D.293},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - Accurate and Robust Surface Measurement Using Optimal Structured Light Tracking Method
T2 - IEICE TRANSACTIONS on Information
SP - 293
EP - 299
AU - Shi WANG
AU - Hyongsuk KIM
AU - Chun-Shin LIN
AU - Hongxin CHEN
PY - 2010
DO - 10.1587/transinf.E93.D.293
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2010
AB - Structured light vision systems are based on the fact that the pixel location of light in an image has a unique association with the object depth. However, their applications are mainly limited to the properties of the object surface and the lighting conditions. This paper presents a robust vision system for accurate acquisition of 3-D surface data based on optimal structured light. To achieve depth measurement for a dynamic scene, the data acquisition must be performed with only a single image. Our special arrangement makes the image of the light stripe remaining sharp while the background becomes blurred. Moreover, a dynamic programming approach is proposed to track the optimal path while the laser beam is invisible or divergent under extreme condition. The principle and necessary mathematics for implementing the algorithm are presented. The robustness of the system against uncalibrated errors is demonstrated.
ER -
English
