Paper
25 September 2001 Three-dimensional visual methods for object pose measurement
Yingming Hao, Feng Zhu, Jinjun Ou
Author Affiliations +
Proceedings Volume 4553, Visualization and Optimization Techniques; (2001) https://doi.org/10.1117/12.441551
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
It is a hotspot problem in robotics research that determine the related pose between two space objects and realize their cooperate. 3D visual method is the main method for measures the space object pose. Because the rigidity demand during pose computes, the 3D vision at this condition ins model based. That is to say the model of the marks must be used as a strict restriction during the computing. This paper will give the method of computing 3D pose at first and discuss the model restriction problem emphatically, include model- based monocular vision method and model-based binocular stereo. The compare analysis between the two methods and the experiment result will be given at last.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yingming Hao, Feng Zhu, and Jinjun Ou "Three-dimensional visual methods for object pose measurement", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); https://doi.org/10.1117/12.441551
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Visual process modeling

Model-based design

3D modeling

Visualization

Cameras

3D metrology

Quantization

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