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» Joint Feature Distributions for Image Correspondence
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151
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IJCV
2000
180views more  IJCV 2000»
15 years 1 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
120
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Motion estimation from compressed linear measurements
This paper presents a novel algorithm for computing the relative motion between images from compressed linear measurements. We propose a geometry based correlation model that desc...
Vijayaraghavan Thirumalai, Pascal Frossard
ICIP
2001
IEEE
16 years 3 months ago
ICA-based probabilistic local appearance models
This paper proposes a novel image modeling scheme for object detection and localization. Object appearance is modeled by the joint distribution of k-tuple salient point feature ve...
Xiang Sean Zhou, Baback Moghaddam, Thomas S. Huang
ICPR
2008
IEEE
15 years 8 months ago
Deformable template combining alignable and non-alignable sketches
This paper proposes a hybrid model for deformable template which combines alignable and non-alignable sketches. These sketches are subject to slight or considerable translations i...
Linjie Zhang, Haifeng Gong, Tianfu Wu, Junyu Dong
122
Voted
ECCV
2004
Springer
16 years 3 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...