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Proceedings Paper

Three-dimensional shape recovery by octree voting technique
Author(s): Shinjiro Kawato
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Paper Abstract

The objective of this work is to develop a technique for 3D shape information recovery from multiple 2D images. Stereopsis is one of the most popular techniques for recovering 3D information. But it has an inherent and difficult problem with stereo matching, especially when the epipolar line is not parallel to the raster line. In this paper, we propose a new technique to avoid this problem by projecting back the feature points in images to the 3D space and by voting (just like for the Hough transform) with a well-contrived voting and evaluation rule. The octree representation of the object is adopted to enable multi resolutional analysis and to increase calculation efficiency. Experimental results are also described.

Paper Details

Date Published: 24 February 1993
PDF: 10 pages
Proc. SPIE 1820, Videometrics, (24 February 1993); doi: 10.1117/12.141385
Show Author Affiliations
Shinjiro Kawato, ATR Human Information Processing Research Labs. (Japan)


Published in SPIE Proceedings Vol. 1820:
Videometrics
Sabry F. El-Hakim, Editor(s)

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