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Published in:
2010 | OriginalPaper | Chapter
A Hierarchical Recursive Partial Active Basis Model
Authors : Pavel Herrera-Domínguez, Leopoldo Altamirano-Robles
Published in: Advances in Pattern Recognition
Publisher: Springer Berlin Heidelberg
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Recognition of occluded objects in computer vision is a very hard problem. In this work we propose an algorithm to construct a structure of a model using learned active basis models, then use it to do inference over the most probable detected parts of an object, to allow partial recognition using the standard sum-max-maps algorithm used for
active basis
. We tested our method and present some improvements on occluded face detection using our algorithm, we also present some experiments with other partially occluded objects.