Face Alignment Based On Semi-Active Appearance Mode

In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face align...

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Vydáno v:International journal on smart sensing and intelligent systems Ročník 7; číslo 4; s. 1493 - 1515
Hlavní autor: Yan, Shiliang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Sydney Sciendo 01.01.2014
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Témata:
active appearance model
Algorithms
Alignment
Character recognition
face alignment
grey level cooccurrence matrix
inverse compositional alignment
ISSN:1178-5608, 1178-5608
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Abstract In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the algorithm of alignment are investigated. For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. Then, through combining the active appearance model and Grey Level Co-occurrence Matrix, a novel semiactive appearance model is proposed, which has a simple calculation and higher accuracy of face alignment. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.
AbstractList In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the algorithm of alignment are investigated. For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. Then, through combining the active appearance model and Grey Level Co-occurrence Matrix, a novel semiactive appearance model is proposed, which has a simple calculation and higher accuracy of face alignment. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.
Author Yan, Shiliang
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SubjectTerms active appearance model
Algorithms
Alignment
Character recognition
face alignment
grey level cooccurrence matrix
inverse compositional alignment
Title Face Alignment Based On Semi-Active Appearance Mode
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