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» Learning Shape Prior Models for Object Matching
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ICPR
2006
IEEE
14 years 8 months ago
Part-Based Probabilistic Point Matching
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
Graham McNeill, Sethu Vijayakumar
SCA
2007
13 years 10 months ago
Face poser: interactive modeling of 3D facial expressions using model priors
In this paper, we present an intuitive interface for interactively posing 3D facial expressions. The user can create and edit facial expressions by drawing freeform strokes, or by...
Manfred Lau, Jinxiang Chai, Ying-Qing Xu, Heung-Ye...
CVPR
2012
IEEE
11 years 10 months ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth
ACCV
2010
Springer
13 years 8 months ago
Abstraction and Generalization of 3D structure for recognition in large intra-class variation
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
Gowri Somanath, Chandra Kambhamettu
ICASSP
2010
IEEE
13 years 7 months ago
Shape matching based on graph alignment using hidden Markov models
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
Xiaoning Qian, Byung-Jun Yoon