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Efficient pose estimation using view-based object representations

  • Special issue on ICVS 2003
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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 small number of sample views of an object is available. The system can be used for a variety of applications.

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Authors and Affiliations

  1. Informatik VII, Universität Dortmund, Otto-Hahn-Str. 16, 44227, Dortmund, Germany

    Gabriele Peters

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  1. Gabriele Peters
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Correspondence to Gabriele Peters.

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Published online: 13 July 2004

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Peters, G. Efficient pose estimation using view-based object representations. Machine Vision and Applications 16, 59–63 (2004). https://doi.org/10.1007/s00138-004-0143-8

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  • DOI: https://doi.org/10.1007/s00138-004-0143-8

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