Shape measurement method integrating stereo vision and shape-from-shading with evolutionary programming

Author(s):  
F. Kobayashi ◽  
T. Fukuda ◽  
K. Shimojima ◽  
T. Takusagawa
2016 ◽  
Vol 14 (1) ◽  
pp. 010010-10014 ◽  
Author(s):  
Qingyang Wu Qingyang Wu ◽  
Baichun Zhang Baichun Zhang ◽  
Haixin Lin Haixin Lin ◽  
Xiangjun Zeng Xiangjun Zeng ◽  
and Zeng Zeng and Zeng Zeng

2020 ◽  
Vol 57 (19) ◽  
pp. 191202
Author(s):  
郭志南 Guo Zhinan ◽  
刘小红 Liu Xiaohong ◽  
张宗华 Zhang Zonghua

2006 ◽  
Vol 03 (01) ◽  
pp. 53-60
Author(s):  
LUPING AN ◽  
YUNDE JIA ◽  
MINGTAO PEI ◽  
HONGBIN DENG

In this article, a method of the precise shape measurement of dynamic surfaces via a single camera stereo vision system is presented, a cross-curve pattern is painted on the surface of an object, and the intersections of cross-curves which represent the shape of the object are measured by the stereo vision system. The system with a single camera is modeled as a virtual binocular stereo by strong calibration technique. Binocular epipolar rectification is used to make the stereo matching efficient, and principal curves theory is employed to extract curves in images for stereo matching. Under the framework of RANSAC, the curves are interpolated robustly with cubic spline based on moving-least-square (MLS). Experimental results on both static and dynamic deforming surfaces illustrate the effectiveness of the proposed method.


Sign in / Sign up

Export Citation Format

Share Document