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» Sparse Image Reconstruction using Sparse Priors
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126
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CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
15 years 9 months ago
Generalizing the Active Shape Model by Integrating Structural Knowledge to Recognize Hand Drawn Sketches
We propose a new deformable shape model Active Shape Structural Model (ASSM) for recognition and reconstruction. The main features of ASSM are: (1) It describes variations of shape...
Stephan Al-Zubi, Klaus D. Tönnies
163
Voted
CVPR
2009
IEEE
16 years 11 months ago
Global Optimization for Alignment of Generalized Shapes
In this paper, we introduce a novel algorithm to solve global shape registration problems. We use gray-scale “images” to represent source shapes, and propose a novel twocompo...
Hongsheng Li (Lehigh University), Tian Shen (Lehig...
141
Voted
CVPR
2003
IEEE
16 years 5 months ago
Extracting Dense Features for Visual Correspondence with Graph Cuts
We present a method for extracting dense features from stereo and motion sequences. Our dense feature is defined symmetrically with respect to both images, and it is extracted dur...
Olga Veksler
ICPR
2004
IEEE
16 years 4 months ago
Localization of Saliency through Iterative Voting
Saliency is an important perceptual cue that occurs at different scales of resolution. Important attributes of saliency are symmetry, continuity, and closure. Detection of these a...
Bahram Parvin, Mary Helen Barcellos-Hoff, Qing Yan...
152
Voted
ICML
2005
IEEE
16 years 4 months ago
Non-negative tensor factorization with applications to statistics and computer vision
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
Amnon Shashua, Tamir Hazan