Extra Facial Landmark Localization via Global Shape Reconstruction
Joint Authors
Tan, Shuqiu
Chen, Dongyi
Guo, Chenggang
Huang, Zhiqi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-23
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Localizing facial landmarks is a popular topic in the field of face analysis.
However, problems arose in practical applications such as handling pose variations and partial occlusions while maintaining moderate training model size and computational efficiency still challenges current solutions.
In this paper, we present a global shape reconstruction method for locating extra facial landmarks comparing to facial landmarks used in the training phase.
In the proposed method, the reduced configuration of facial landmarks is first decomposed into corresponding sparse coefficients.
Then explicit face shape correlations are exploited to regress between sparse coefficients of different facial landmark configurations.
Finally extra facial landmarks are reconstructed by combining the pretrained shape dictionary and the approximation of sparse coefficients.
By applying the proposed method, both the training time and the model size of a class of methods which stack local evidences as an appearance descriptor can be scaled down with only a minor compromise in detection accuracy.
Extensive experiments prove that the proposed method is feasible and is able to reconstruct extra facial landmarks even under very asymmetrical face poses.
American Psychological Association (APA)
Tan, Shuqiu& Chen, Dongyi& Guo, Chenggang& Huang, Zhiqi. 2017. Extra Facial Landmark Localization via Global Shape Reconstruction. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1141189
Modern Language Association (MLA)
Tan, Shuqiu…[et al.]. Extra Facial Landmark Localization via Global Shape Reconstruction. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1141189
American Medical Association (AMA)
Tan, Shuqiu& Chen, Dongyi& Guo, Chenggang& Huang, Zhiqi. Extra Facial Landmark Localization via Global Shape Reconstruction. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1141189
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141189