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» Invariances in kernel methods: From samples to objects
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CVIU
2004
125views more  CVIU 2004»
13 years 8 months ago
Efficient detection under varying illumination conditions and image plane rotations
This paper focuses on the detection of objects with a Lambertian surface under varying illumination and pose. We offer to apply a novel detection method that proceeds by modeling ...
Margarita Osadchy, Daniel Keren
CVPR
1999
IEEE
14 years 11 months ago
Eigen-Texture Method: Appearance Compression Based on 3D Model
Image-based and model-based methods are two representative rendering methods for generating virtual images of objects from their real images. Extensive research on these two metho...
Ko Nishino, Yoichi Sato, Katsushi Ikeuchi
CGF
2008
134views more  CGF 2008»
13 years 9 months ago
Sample Based Visibility for Soft Shadows using Alias-free Shadow Maps
This paper introduces an accurate real-time soft shadow algorithm that uses sample based visibility. Initially, we present a GPU-based alias-free hard shadow map algorithm that ty...
Erik Sintorn, Elmar Eisemann, Ulf Assarsson
CVPR
2012
IEEE
11 years 11 months ago
Supervised hashing with kernels
Recent years have witnessed the growing popularity of hashing in large-scale vision problems. It has been shown that the hashing quality could be boosted by leveraging supervised ...
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shi...
ICPR
2000
IEEE
14 years 10 months ago
Experiments with an Extended Tangent Distance
Invariance is an important aspect in image object recognition. We present results obtained with an extended tangent distance incorporated in a kernel density based Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Tho...