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Proceedings Paper

Integration of defocus and focus analysis with stereo for 3D shape recovery
Author(s): Murali Subbarao; Ta Yuan; JennKwei Tyan
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Paper Abstract

Image defocus analysis (IDA), image focus analysis (IFA), and stereo image analysis (SIA), are integrated for recovering the three-dimensional (3D) shape of objects. Integrating IDA, IFA, and SIA, has important advantages because IDA and IFA are less accurate than stereo but they do not suffer from the correspondence problem associated with stereo. Therefore, a rough 3D shape is first obtained using IDA and IFA without encountering the correspondence problem. The amount of computation and accuracy at this stage is optimized by using IDA first and then the IFA. Accuracy is further improved by projecting a high contrast pattern on to the object of interest. The rough shape thus obtained is used in a stereo matching algorithm to solve the correspondence problem efficiently. The amount of computation in matching is reduced since the search for correspondence is done in a narrow image region determined by the approximate shape. Also, the knowledge of approximate shape improves the matching accuracy by minimizing false matches due to occlusion. The method for integrating IDA, IFA, and SIA is presented in detail. The method has been implemented on a vision system named SVIS. Experimental results of the method are presented.

Paper Details

Date Published: 10 December 1997
PDF: 13 pages
Proc. SPIE 3204, Three-Dimensional Imaging and Laser-based Systems for Metrology and Inspection III, (10 December 1997); doi: 10.1117/12.294452
Show Author Affiliations
Murali Subbarao, SUNY/Stony Brook (United States)
Ta Yuan, SUNY/Stony Brook (United States)
JennKwei Tyan, SUNY/Stony Brook (United States)

Published in SPIE Proceedings Vol. 3204:
Three-Dimensional Imaging and Laser-based Systems for Metrology and Inspection III
Kevin G. Harding; Donald J. Svetkoff, Editor(s)

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