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» The RIM Framework for Image Processing
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ECCV
2004
Springer
16 years 3 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
ICIP
2006
IEEE
16 years 3 months ago
A Lifting-Based Wavelet Transform Supporting Non-Dyadic Spatial Scalability
In subband image and video compression, the issue of dyadic spatial scalability with a downsizing ratio of 2:1 has already been widely investigated. In some application scenarios,...
Ruiqin Xiong, Jizheng Xu, Feng Wu
ICIP
2005
IEEE
16 years 3 months ago
Greedy non-linear approximation of the plenoptic function for interactive transmission of 3D scenes
We consider an interactive browsing environment, with greedy optimization of a current view, conditioned on the availability of previously transmitted information for other (possi...
Pietro Zanuttigh, Nicola Brusco, David Taubman, Gu...
ICIP
2009
IEEE
14 years 11 months ago
Locality preserving constraints for super-resolution with neighbor embedding
In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image superresolution. The assumption states that point-pairs from the high-r...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
140
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SIAMIS
2011
14 years 9 months ago
Locally Parallel Texture Modeling
This article presents a new adaptive framework for locally parallel texture modeling. Oscillating patterns are modeled with functionals that constrain the local Fourier decompositi...
Pierre Maurel, Jean-François Aujol, Gabriel...