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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| Veröffentlicht in: | International journal on smart sensing and intelligent systems Jg. 7; H. 4; S. 1493 - 1515 |
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| 1. Verfasser: | |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Sydney
Sciendo
01.01.2014
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
| Schlagworte: | |
| ISSN: | 1178-5608, 1178-5608 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | 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. |
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| Bibliographie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1178-5608 1178-5608 |
| DOI: | 10.21307/ijssis-2017-717 |