3D articulated object recognition: a case study

B. Liu; Patrick S. P. Wang

doi:10.1117/12.256270

29 October 1996 3D articulated object recognition: a case study

B. Liu, Patrick S. P. Wang

Proceedings Volume 2904, Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling; (1996) https://doi.org/10.1117/12.256270
Event: Photonics East '96, 1996, Boston, MA, United States

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.

Citation Download Citation

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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