A Component-Based Framework for Generalized Face Alignment

This paper presents a component-based deformable model for generalized face alignment, in which a novel bistage statistical model is proposed to account for both local and global shape characteristics. Instead of using statistical analysis on the entire shape, we build separate Gaussian models for s...

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Vydané v:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Ročník 41; číslo 1; s. 287 - 298
Hlavní autori:	Yuchi Huang, Qingshan Liu, Metaxas, D N
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.02.2011
Predmet:	Active shape model Algorithms Alignment Bayes Theorem Biometric Identification - methods Bistage statistical model component detection Cybernetics Deformable models Deformation Face - anatomy & histology face alignment Face detection Facial animation Gaussian Gaussian process latent variable model (GPLVM) Gaussian processes Humans Image Processing, Computer-Assisted - methods Image reconstruction Markov Chains Markov network Markov random fields Mathematical models Mouth Normal Distribution Principal Component Analysis Searching Shape control Statistical analysis Video Recording - methods
ISSN:	1083-4419, 1941-0492, 1941-0492
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