Paper
29 October 1996 3D articulated object recognition: a case study
B. Liu, Patrick S. P. Wang
Author Affiliations +
Abstract
A simple method for visualizing, understanding, interpreting, and recognizing 3D objects from 2D images is presented. It extended the linear combination methods, uses parallel pattern matching and can handle 3D rigid concave objects as well as convex objects, yet, needs only a very small number of learning samples. Some real images are illustrated, with future research discussed including more complicated images such as 3D concave and articulated objects.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Liu and Patrick S. P. Wang "3D articulated object recognition: a case study", Proc. SPIE 2904, Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling, (29 October 1996); https://doi.org/10.1117/12.256270
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
3D image processing

Object recognition

Data modeling

3D modeling

Hough transforms

Visualization

Information operations

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