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ICCV
1995
IEEE
15 years 10 months ago
Recovering Object Surfaces from Viewed Changes in Surface Texture Patterns
This paper explores the reconstruction of object surfaces from viewed changes in surface texture patterns. Our approach differs from those in the past in that instead of simply pr...
Peter N. Belhumeur, Alan L. Yuille
CVPR
2008
IEEE
15 years 8 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash

Publication
372views
16 years 7 months ago
Multi-Objects Interpretation
We describe a general-purpose method for the accurate and robust interpretation of a data set of p-dimensional points by several deformable prototypes. This method is based on the ...
Jean-Philippe Tarel
TMI
2011
147views more  TMI 2011»
15 years 1 months ago
Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model
Abstract—Backbone anatomical structure detection and labeling is a necessary step for various analysis tasks of the vertebral column. Appearance, shape and geometry measurements ...
Raja' S. Alomari, Jason J. Corso, Vipin Chaudhary
ICIP
2005
IEEE
16 years 8 months ago
Tracking points on deformable objects with ranklets
We present a robust algorithm for point tracking on deformable objects. The key elements are the use of orientation selective rank features (ranklets), local filter adaptation and...
Fabrizio Smeraldi, Alessio Del Bue, Lourdes de Aga...