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ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib S. Lazebnik and A. Sethi and C. Schmid and D. Kriegman and J. Ponce and M. Hebert On pencils of tangent planes and the recognition of smooth 3{D} shapes from silhouettes ABSTRACT This paper presents a geometric approach to recognizing smooth objects from their outlines. We define a signature function that associates feature vectors with objects and baselines connecting pairs of possible viewpoints. Feature vectors, which can be projective, a#ne, or Euclidean, are computed using the planes that pass through a fixed baseline and are also tangent to the object's surface. In the proposed framework, matching a test outline to a set of training outlines is equiv­ alent to finding intersections in feature space between the images of the training and the test signature functions. The paper presents experimen­ tal results for the case of internally calibrated perspective cameras, where the feature vectors are angles between epipolar tangent planes.

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