Robust and Efficient Detection of Salient Convex Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching 3-D Models to 2-D Images
International Journal of Computer Vision
3-D to 2-D Pose Determination with Regions
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
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In model-based vision, there are a huge number of possible ways to match model features to image features. In addition to model shape constraints, there are important {\it match-independent} constraints that can efficiently reduce the search without the combinatorics of matching. I demonstrate two specific modules in the context of a complete recognition system, Reggie. The first is a {\it region-based grouping} mechanism to find groups of image features that are likely to come from a single object. The second is an {\it interpretive matching} scheme to make explicit hypotheses about occlusion and instabilities in the image features.