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» Histogram Preserving Image Transformations
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CVPR
2010
IEEE
15 years 3 months ago
Local Features Are Not Lonely - Laplacian Sparse Coding for Image Classification
Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization pro...
Shenghua Gao, Wai-Hung Tsang, Liang-Tien Chia, Pei...
DCC
2004
IEEE
15 years 10 months ago
Coding for Fast Access to Image Regions Defined by Pixel Range
Many technical imaging applications, like coding "images" of digital elevation maps, require extracting regions of compressed images in which the pixel values are within...
Amir Said, Sehoon Yea, William A. Pearlman
ECCV
2010
Springer
15 years 1 months ago
Face Image Relighting using Locally Constrained Global Optimization
A face image relighting method using locally constrained global optimization is presented in this paper. Based on the empirical fact that common radiance environments are locally h...
VCIP
2003
170views Communications» more  VCIP 2003»
15 years 2 days ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger
CVPR
2010
IEEE
14 years 12 months ago
The Phase Only Transform for unsupervised surface defect detection
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
Dror Aiger, Hugues Talbot