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Proceedings Paper

Discriminative k metrics and the Chan-Vese model for object detection and segmentation
Author(s): Arthur Szlam; Guillermo Sapiro
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Paper 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.

Paper Details

Date Published: 4 September 2009
PDF: 10 pages
Proc. SPIE 7446, Wavelets XIII, 744615 (4 September 2009); doi: 10.1117/12.825800
Show Author Affiliations
Arthur Szlam, Univ. of California, Los Angeles (United States)
Guillermo Sapiro, Univ. of Minnesota (United States)


Published in SPIE Proceedings Vol. 7446:
Wavelets XIII
Vivek K. Goyal; Manos Papadakis; Dimitri Van De Ville, Editor(s)

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