Feature extraction of articulated objects in an active vision environment

Patrick S. P. Wang

doi:10.1117/12.222676

3 October 1995 Feature extraction of articulated objects in an active vision environment

Patrick S. P. Wang

Proceedings Volume 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling; (1995) https://doi.org/10.1117/12.222676
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

This paper deals with feature extraction of 3D articulated objects in active vision environment, in which the object and/or the observer can move or rotate, while at the same time the articulated object itself can change status. An articulated object is divided into two portions: main rigid portion and articulated portion. It is more complicated than `rigid' object in that the relative positions, shapes or angles between the main portion and the articulated portion have essentially infinite variations, in addition to the infinite variations of each individual rigid portions due to orientations, rotations and topological transformations. A new method generalized from linear combination is employed to investigate such problems. It uses very few learning samples, and can describe, understand, and recognize 3D articulated objects while the objects status is being changed in an active vision environment.

Citation Download Citation

Patrick S. P. Wang "Feature extraction of articulated objects in an active vision environment", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222676

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KEYWORDS

Active vision

3D image processing

Feature extraction

Hough transforms

3D acquisition

Analytical research

3D metrology

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