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Proceedings Paper

Matching in image/object dual spaces
Author(s): Yaonan Zhang
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Paper Abstract

This paper proposes a new approach to solve the well-known matching or correspondence problem. This approach incorporates the image space based matching techniques with the general knowledge of the scenes. The low-level processing (edge detection, segmentation) and candidate matching are performed in image space, while the final matching is determined in object space by a relaxation procedure which combines the result of candidate matching, general geometric constraints of scenes (GGCS) and other constraints of image matching. The innovative features of our approach lie in back-projecting (back tracing) the line pairs from candidate matching into the object (scene) space, and combining all the constraints in an unified process. The concept of "figure continuity" in the image space is substituted by a new concept of "General Geometric Constraints of Scenes (GGCS)", which is object space based and has much more scope than "figure continuity". Under the new scheme, the final matching becomes a consistent labeling problem. An experiment is used to illustrate our approach.

Paper Details

Date Published: 1 September 1991
PDF: 8 pages
Proc. SPIE 1526, Industrial Vision Metrology, (1 September 1991); doi: 10.1117/12.48249
Show Author Affiliations
Yaonan Zhang, Delft Univ. of Technology (Netherlands)

Published in SPIE Proceedings Vol. 1526:
Industrial Vision Metrology
Sabry F. El-Hakim, Editor(s)

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