A Robust Shape Reconstruction Method for Facial Feature Point Detection
Joint Authors
Tan, Shuqiu
Chen, Dongyi
Guo, Chenggang
Huang, Zhiqi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Facial feature point detection has been receiving great research advances in recent years.
Numerous methods have been developed and applied in practical face analysis systems.
However, it is still a quite challenging task because of the large variability in expression and gestures and the existence of occlusions in real-world photo shoot.
In this paper, we present a robust sparse reconstruction method for the face alignment problems.
Instead of a direct regression between the feature space and the shape space, the concept of shape increment reconstruction is introduced.
Moreover, a set of coupled overcomplete dictionaries termed the shape increment dictionary and the local appearance dictionary are learned in a regressive manner to select robust features and fit shape increments.
Additionally, to make the learned model more generalized, we select the best matched parameter set through extensive validation tests.
Experimental results on three public datasets demonstrate that the proposed method achieves a better robustness over the state-of-the-art methods.
American Psychological Association (APA)
Tan, Shuqiu& Chen, Dongyi& Guo, Chenggang& Huang, Zhiqi. 2017. A Robust Shape Reconstruction Method for Facial Feature Point Detection. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1140966
Modern Language Association (MLA)
Tan, Shuqiu…[et al.]. A Robust Shape Reconstruction Method for Facial Feature Point Detection. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1140966
American Medical Association (AMA)
Tan, Shuqiu& Chen, Dongyi& Guo, Chenggang& Huang, Zhiqi. A Robust Shape Reconstruction Method for Facial Feature Point Detection. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1140966
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140966