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FGR
2008
IEEE
195views Biometrics» more  FGR 2008»
14 years 1 months ago
Regularized active shape model for shape alignment
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li
ICCV
2009
IEEE
15 years 12 days ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
ECCV
2006
Springer
14 years 9 months ago
Sparse Flexible Models of Local Features
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
Gustavo Carneiro, David Lowe
FGR
2008
IEEE
168views Biometrics» more  FGR 2008»
14 years 1 months ago
A bottom-up framework for robust facial feature detection
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
Victor Erukhimov, Kuang-chih Lee
IJON
1998
102views more  IJON 1998»
13 years 7 months ago
Developments of the generative topographic mapping
The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing map (SOM). It offers a number of advantages compared ...
Christopher M. Bishop, Markus Svensén, Chri...