Efficient Pose Estimation Using View-Based Object Representations

  • Gabriele Peters
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2626)

Abstract

We present an efficient method for estimating the pose of a three-dimensional object. Its implementation is embedded in a computer vision system which is motivated by and based on cognitive principles concerning the visual perception of three-dimensional objects. Viewpoint-invariant object recognition has been subject to controversial discussions for a long time. An important point of discussion is the nature of internal object representations. Behavioral studies with primates, which are summarized in this article, support the model of view-based object representations. We designed our computer vision system according to these findings and demonstrate that very precise estimations of the poses of real-world objects are possible even if only a few number of sample views of an object is available. The system can be used for a variety of applications.

Keywords

Object Representation Virtual View Computer Vision System Inferior Temporal Pose Estimation 
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 2003

Authors and Affiliations

  • Gabriele Peters
    • 1
  1. 1.Informatik VIIUniversität DortmundGermany

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