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Cascading deformable parts model in the facial feature detection of frontal and side profile images
Joint Authors
Setthawong, Pisal
Vanijja, Vajirasak
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6A(s) (31 Dec. 2016), pp.880-887, 8 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Facial feature detection is considered an important computer vision task that is used for many real world applications.
Current advancements in computer vision have come up with many proposed facial feature detection approaches, such as Deformable Parts Model (DPM), that provide good accuracy in the detection of key facial features, but mainly in frontal poses.
When presented with side profile poses many approaches do not perform well as certain facial features can be obscured and the approach may attempt to over-fit the trained model which leads to inadequate results.
The proposal of a cascading pipeline extension to the DPM approach and a modified DPM approach for side profile specific facial feature detection is presented to deal with a wider range of facial profiles.
The proposed approach would be evaluated empirically showing the improvement of the proposed method over a wide range facial feature configurations including side and frontal profiles.
American Psychological Association (APA)
Setthawong, Pisal& Vanijja, Vajirasak. 2016. Cascading deformable parts model in the facial feature detection of frontal and side profile images. The International Arab Journal of Information Technology،Vol. 13, no. 6A(s), pp.880-887.
https://search.emarefa.net/detail/BIM-792126
Modern Language Association (MLA)
Setthawong, Pisal& Vanijja, Vajirasak. Cascading deformable parts model in the facial feature detection of frontal and side profile images. The International Arab Journal of Information Technology Vol. 13, no. 6A (Special issue) (Dec. 2016), pp.880-887.
https://search.emarefa.net/detail/BIM-792126
American Medical Association (AMA)
Setthawong, Pisal& Vanijja, Vajirasak. Cascading deformable parts model in the facial feature detection of frontal and side profile images. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6A(s), pp.880-887.
https://search.emarefa.net/detail/BIM-792126
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 887
Record ID
BIM-792126