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A Hierarchical Recursive Partial Active Basis Model

  • Pavel Herrera-Domínguez
  • Leopoldo Altamirano-Robles
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6256)

Abstract

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.

Keywords

Active Basis Inference Algorithm Partial Occlusion Active Appearance Model Occlude Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Pavel Herrera-Domínguez
    • 1
  • Leopoldo Altamirano-Robles
    • 1
  1. 1.INAOEPuebla

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