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CVPR
2006
IEEE
15 years 11 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
CAIP
2001
Springer
165views Image Analysis» more  CAIP 2001»
15 years 2 months ago
A New Approach for Model-Based Adaptive Region Growing in Medical Image Analysis
Abstract. Interaction increases flexibility of segmentation but it leads to undesirable behaviour of an algorithm if knowledge being requested is inappropriate. In region growing, ...
Regina Pohle, Klaus D. Tönnies
SCALESPACE
2009
Springer
15 years 4 months ago
A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking
In this paper, we introduce a semi-automated segmentation method based on minimizing the Geodesic Active Contour energy incorporating a shape prior. We increase the robustness of t...
Manuel Werlberger, Thomas Pock, Markus Unger, Hors...
ICCV
2009
IEEE
16 years 18 days ago
Image Saliency by Isocentric Curvedness and Color
In this paper we propose a novel computational method to infer visual saliency in images. The method is based on the idea that salient objects should have local characteristics tha...
Roberto Valenti
ICML
2004
IEEE
15 years 10 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan