24 February 1993 Three-dimensional shape recovery by octree voting technique
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Proceedings Volume 1820, Videometrics; (1993) https://doi.org/10.1117/12.141385
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shinjiro Kawato, Shinjiro Kawato, } "Three-dimensional shape recovery by octree voting technique", Proc. SPIE 1820, Videometrics, (24 February 1993); doi: 10.1117/12.141385; https://doi.org/10.1117/12.141385
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