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» Learning Object Shape: From Drawings to Images
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CLOR
2006
15 years 1 months ago
A Discriminative Framework for Texture and Object Recognition Using Local Image Features
This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
ICIP
2001
IEEE
15 years 11 months ago
Efficient feature extraction for 2D/3D objects in mesh representation
Meshes are dominantly used to represent 3D models as they fit well with graphics rendering hardware. Features such as volume, moments, and Fourier transform coefficients need to b...
Cha Zhang, Tsuhan Chen
CVPR
2005
IEEE
16 years 17 hour ago
Discriminative Training for Object Recognition Using Image Patches
We present a method for automatically learning discriminative image patches for the recognition of given object classes. The approach applies discriminative training of log-linear...
Thomas Deselaers, Daniel Keysers, Hermann Ney
CVPR
2001
IEEE
16 years 17 hour ago
Photometric Stereo with General, Unknown Lighting
Work on photometric stereo has shown how to recover the shape and reflectance properties of an object using multiple images taken with a fixed viewpoint and variable lighting cond...
Ronen Basri, David W. Jacobs
ECCV
2004
Springer
15 years 12 months ago
Light Field Appearance Manifolds
Abstract. Statistical shape and texture appearance models are powerful image representations, but previously had been restricted to 2D or 3D shapes with smooth surfaces and lambert...
Chris Mario Christoudias, Louis-Philippe Morency, ...