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» Towards Fully Automatic Image Segmentation Evaluation
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IJCV
2008
266views more  IJCV 2008»
13 years 10 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
MICCAI
2010
Springer
13 years 8 months ago
Modeling and Segmentation of Surgical Workflow from Laparoscopic Video
Modeling and analyzing surgeries based on signals that are obtained automatically from the operating room (OR) is a field of recent interest. It can be valuable for analyzing and u...
Tobias Blum, Hubertus Feußner, Nassir Navab
CVPR
2008
IEEE
15 years 3 days ago
Semantic texton forests for image categorization and segmentation
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not ne...
Jamie Shotton, Matthew Johnson, Roberto Cipolla
IPMI
2001
Springer
14 years 11 months ago
An Adaptive Level Set Method for Medical Image Segmentation
An efficient adaptive multigrid level set method for front propagation purposes in three dimensional medical image processing and segmentation is presented. It is able to deal with...
Marc Droske, Bernhard Meyer, Martin Rumpf, Carlo S...
SMI
2007
IEEE
157views Image Analysis» more  SMI 2007»
14 years 4 months ago
Skeleton-based Hierarchical Shape Segmentation
We present an effective framework for segmenting 3D shapes into meaningful components using the curve skeleton. Our algorithm identifies a number of a critical points on the curv...
Dennie Reniers, Alexandru Telea