Abstract
In this paper, we propose a neighborhood-preserving estimation (NPE) algorithm for facial landmark points at arbitrary poses. The proposed NPE algorithm is based on the following assumption: the neighboring structure of the face shapes in non-frontal view is consistent with that in frontal view. A face shape both in frontal and non-frontal view is represented as a linear combination of its neighbors. It is assumed the neighbors both in frontal and non-frontal view are from same persons and with same weights in the combinations. Extensive experiments are conducted on IMM and BU_3DFE to validate the performance of the proposed algorithm.
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Liu, Y., Cui, Y., Jin, Z. (2013). Neighborhood-Preserving Estimation Algorithm for Facial Landmark Points. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_77
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DOI: https://doi.org/10.1007/978-3-642-36669-7_77
Publisher Name: Springer, Berlin, Heidelberg
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