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» Face Alignment Using Statistical Models and Wavelet Features
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ICIP
2002
IEEE
14 years 9 months ago
Likelihood normalization for face authentication in variable recording conditions
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
Kuldip K. Paliwal, Conrad Sanderson
ACII
2005
Springer
13 years 9 months ago
The Bunch-Active Shape Model
Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-AS...
Jingcai Fan, Hongxun Yao, Wen Gao, Yazhou Liu, Xin...
IPPS
2003
IEEE
14 years 18 days ago
Using Hybrid Alignment for Iterative Sequence Database Searches
Progressive sequence model refinement by means of iterative searches is an effective technique for high sensitivity database searches and is currently employed in popular tools s...
Yuheng Li, Mario Lauria, Ralf Bundschuh
ICIP
2005
IEEE
14 years 9 months ago
A probabilistic model for robust face alignment in videos
A new approach for localizing facial structure in videos is proposed in this paper by modeling shape alignment dynamically. The approach makes use of the spatial-temporal continuit...
Wei Zhang, Yi Zhou, Xiaoou Tang, Junhui Deng
SIBGRAPI
2006
IEEE
14 years 1 months ago
A Statistical Discriminant Model for Face Interpretation and Reconstruction
Multivariate statistical approaches have played an important role of recognising face images and characterizing their differences. In this paper, we introduce the idea of using a ...
Edson C. Kitani, Carlos E. Thomaz, Duncan Fyfe Gil...