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» Markov Random Field Models in Computer Vision
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CVPR
2005
IEEE
16 years 3 months ago
Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes
Active contours or snakes have been extensively utilized in handling image segmentation and classification problems. In traditional active contour models, snake initialization is ...
Chunming Li, Jundong Liu, Martin D. Fox
109
Voted
ICCV
2003
IEEE
16 years 3 months ago
Towards Direct Recovery of Shape and Motion Parameters from Image Sequences
A novel procedure is presented to construct image-domain filters (receptive fields) that directly recover local motion and shape parameters. These receptive fields are derived fro...
Stephen Benoit, Frank P. Ferrie
ICPR
2002
IEEE
16 years 2 months ago
Regularized Patch Motion Estimation
This paper presents a new formulation of the problem of motion estimation which attempts to give solutions to classical problems in the field, such as detection of motion disconti...
Ioannis Patras, Marcel Worring
MICCAI
2009
Springer
16 years 2 months ago
Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy
Recent advances in biophotonics have enabled in-vivo, in-situ histopathology for routine clinical applications. The non-invasive nature of these optical `biopsy' techniques, h...
Selen Atasoy, Ben Glocker, Stamatia Giannarou, ...
MICCAI
2003
Springer
16 years 2 months ago
A New Brain Segmentation Framework
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
Torsten Butz, Patric Hagmann, Eric Tardif, Reto Me...