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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Bibliographic Details
Published in:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Vol. 41; no. 1; pp. 287 - 298
Main Authors:	Yuchi Huang, Qingshan Liu, Metaxas, D N
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.02.2011
Subjects:	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
Online Access:	Get full text
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