Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision

By Nikos Paragios, Rachid Deriche. Journal of Visual Communication and Image Representation, 2002

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation (2011, methodology): “In the present work, ro and rb are chosen to be region-based functionals of [8], [ 32 ].”
Active unsupervised texture segmentation on a diffusion based feature space (2003, neutral): “boundary information [15] or region information [17].”
Computing geodesics and minimal surfaces via graph cuts (2003, background): “Regional proper ties of geodesic active contours are considered in [22].”
Localizing Region-Based Active Contours (2008, methodology): “Paragios and Deriche [ 21 ] presented a method in which edge-based energies and region-based energies were explicitly summed to create a joint energy which was then minimized.”
A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape (2007, methodology): “(12) In the context of intensity segmentation (i.e. f = I ), this energy is the basis of several works (Leclerc, 1989; Zhu and Yuille, 1996; Samson et al., 2000; Paragios and Deriche, 2002).”
A level set approach for shape-driven segmentation and tracking of the left ventricle (2003, background): “Regional/global information can improve performance of boundary-based flows [12] that suffer of being sensitive to t he initial conditions.”