Extensions of Constrained Local Model for Face Alignment
2010
Hochschulschrift
Zugriff:
98
The constrained local model (CLM) has been showed the good performance recently for the face alignment. However, the CLM and its variety only consider the local information of landmarks and lead a serious local optimum problem. In this paper, we extend the CLM to improve its drawback and gain a better performance. First, a prior knowledge is used for a stable result. Second, the component information is brought in the CLM formulation. Because the discriminative power of components is better than the discriminative power of landmarks, the components have less influence of local optimums. A high level model which consists of facial components helps the face shape jump out the local optimums. Third, we use the 3D morphable model to synthesize the variant 2D shapes which are taken as the training data. Due to the 3D property, the shape model which is trained by synthetic data has better results for the large pose face.
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Extensions of Constrained Local Model for Face Alignment
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Autor/in / Beteiligte Person: | Tsai, Ya-Chun ; 蔡雅淳 |
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Veröffentlichung: | 2010 |
Medientyp: | Hochschulschrift |
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