Authors: Yehezkel Lamdan , Jacob T. Schwartz , Haim J. Wolfson - IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 1988 cited by 277
Novel techniques are described for model-based recognition of 3-D objects from unknown viewpoints using single-gray-scale images. The objects in the scene may be overlapping and partially occluded. Efficient matching algorithms, which assume affine approximation to the perspective viewing transformation, are proposed. The study is currently restricted to flat rigid 3-D objects. Point, line and curve matching algorithms are presented. The study especially emphasizes the curve matching problem. Experimental results are included.< >
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