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Proceedings Article

Discriminative k metrics and the Chan-Vese model for object detection and segmentation

[+] Author Affiliations
Arthur Szlam

Univ. of California, Los Angeles (USA)

Guillermo Sapiro

Univ. of Minnesota (USA)

Proc. SPIE 7446, Wavelets XIII, 744615 (September 04, 2009); doi:10.1117/12.825800
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From Conference Volume 7446

  • Wavelets XIII
  • Vivek K. Goyal; Manos Papadakis; Dimitri Van De Ville
  • San Diego, CA | August 02, 2009

abstract

In this work, a modification of the k q -flats framework for pattern classification introduced in [9] is used for pixelwise object detection. We include a preliminary discussion of augmenting this method is with a Chan-Vese-like geometric regularization.

© (2009) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Arthur Szlam and Guillermo Sapiro
"Discriminative k metrics and the Chan-Vese model for object detection and segmentation", Proc. SPIE 7446, Wavelets XIII, 744615 (September 04, 2009); doi:10.1117/12.825800; http://dx.doi.org/10.1117/12.825800


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