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

Arthur Szlam; Guillermo Sapiro

doi:10.1117/12.825800

4 September 2009 Discriminative k metrics and the Chan-Vese model for object detection and segmentation

Arthur Szlam, Guillermo Sapiro

Proceedings Volume 7446, Wavelets XIII; 744615 (2009) https://doi.org/10.1117/12.825800
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

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.

Citation Download 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 (4 September 2009); https://doi.org/10.1117/12.825800

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