Nonlinear Shape Statistics in Mumford-Shah Based Segmentation

Nonlinear Shape Statistics in Mumford-Shah Based Segmentation (2002)

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by Daniel Cremers , Timo Kohlberger , Christoph Schnörr

Venue:	In European Conference on Computer Vision
Citations:	47 - 6 self

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@INPROCEEDINGS{Cremers02nonlinearshape,
    author = {Daniel Cremers and Timo Kohlberger and Christoph Schnörr},
    title = {Nonlinear Shape Statistics in Mumford-Shah Based Segmentation},
    booktitle = {In European Conference on Computer Vision},
    year = {2002},
    pages = {93--108},
    publisher = {Springer}
}

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Abstract

We present a variational integration of nonlinear shape statistics into a Mumford-Shah based segmentation process. The nonlinear statistics are derived from a set of training silhouettes by a novel method of density estimation which can be considered as an extension of kernel PCA to a stochastic framework.

Citations

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