Home Research Teaching Personal

  Main   Mathematical Models in Computer Vision: The Handbook, Springer (2005)

  • Variational Segmentation with Shape Prior, M. Bergtholdt, D. Cremers and C. Schnörr
ABSTRACT: We discuss the design of shape priors for variational region-based segmentation. By means of two different approaches, we elucidate the critical design issues involved: representation of shape, use of perceptually plausible dissimilarity measures, Euclidean embedding of shapes, learning of shape appearance from examples, combining shape priors and variational approaches to segmentation. The overall approach enables the appearance-based segmentation of views of 3D objects, without the use of 3D models.

Last Update: December20th, 2004, you can mail your comments to: nikos.paragios@computer.org