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Issue No.09 - September (1989 vol.11)
pp: 897-915
ABSTRACT
<p>The location of a scene element can be determined from the disparity of two of its depicted entities (each in a different image). Prior to establishing disparity, however, the correspondence problem must be solved. It is shown that for the axial-motion stereo camera model the probability of determining unambiguous correspondence assignments is significantly greater than that for other stereo camera models. However, the mere geometry of the stereo camera system does not provide sufficient information for uniquely identifying correct correspondences. Therefore, additional constraints derived from justifiable assumptions about the scene domain and from the scene radiance model are utilized to reduce the number of potential matches. The measure for establishing the correct correspondence is shown to be a function of the geometrical constraints, scene constraints, and scene radiance model.</p>
INDEX TERMS
3D machine vision; camera geometry; computer vision; pattern recognition; image matching; axial-motion stereo camera model; scene domain; scene radiance model; geometrical constraints; scene constraints; computer vision; computerised pattern recognition
CITATION
N. Alvertos, D. Brzakovic, R.C. Gonzalez, "Camera Geometries for Image Matching in 3-D Machine Vision", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.11, no. 9, pp. 897-915, September 1989, doi:10.1109/34.35494
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