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» A Comparison of Shape Constrained Facial Feature Detectors
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ICCS
2007
Springer
13 years 12 months ago
Dynamic Tracking of Facial Expressions Using Adaptive, Overlapping Subspaces
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
Dimitris N. Metaxas, Atul Kanaujia, Zhiguo Li
ICIAR
2004
Springer
13 years 11 months ago
Real-Time Facial Feature Extraction by Cascaded Parameter Prediction and Image Optimization
We propose a new fast facial-feature extraction technique for embedded face-recognition applications. A deformable feature model is adopted, of which the parameters are optimized t...
Fei Zuo, Peter H. N. de With
DGCI
2006
Springer
13 years 9 months ago
Improving Difference Operators by Local Feature Detection
Differential operators are required to compute several characteristics for continuous surfaces, as e.g. tangents, curvature, flatness, shape descriptors. We propose to replace diff...
Kristof Teelen, Peter Veelaert
CVPR
2009
IEEE
15 years 26 days ago
Convexity and Bayesian Constrained Local Models
The accurate localization of facial features plays a fundamental role in any face recognition pipeline. Constrained local models (CLM) provide an effective approach to localizati...
Ulrich Paquet (Imense Ltd)
ACII
2005
Springer
13 years 7 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...