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» Shape Matching and Object Recognition
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NIPS
1994
13 years 8 months ago
Using a neural net to instantiate a deformable model
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
Christopher K. I. Williams, Michael Revow, Geoffre...
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
14 years 1 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
CIVR
2007
Springer
361views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Interpretability based interest points detection
This paper deals with a new interest points detector. Unlike most standard detectors which concentrate on the local shape of the signal, the main objective of this new operator is...
Ahmed Rebai, Alexis Joly, Nozha Boujemaa
ECCV
2010
Springer
13 years 7 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani
TMI
2010
134views more  TMI 2010»
13 years 2 months ago
Detection and Segmentation of Colonic Polyps on Implicit Isosurfaces by Second Principal Curvature Flow
Abstract--Today's computer aided detection systems for computed tomography colonography (CTC) enable automated detection and segmentation of colorectal polyps. We present a pa...
Cees van Wijk, Vincent Frans van Ravesteijn, Frans...