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» Joint Feature Distributions for Image Correspondence
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IJCV
2000
180views more  IJCV 2000»
14 years 11 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
ICASSP
2010
IEEE
14 years 12 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 1 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 6 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
ECCV
2004
Springer
16 years 1 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...