Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

Summary on Facial Landmark Detection

Authors
Jinghao Wen
Corresponding Author
Jinghao Wen
Available Online June 2016.
DOI
https://doi.org/10.2991/mecs-17.2017.47How to use a DOI?
Keywords
Facial Landmark Detection, DCNN, HeHOP, partition input domain, PIMV.
Abstract
Facial landmark detection has important applications in many aspects such as facial recognition, expression recognition, facial attributes analysis, and so on. It compares the detected images with images in dataset to find matched faces, which achieves the identification purpose. Because of its wide use in business, security, identification and other aspects, it gains more and more attention. State-of-art researches on deep convolutional neutral network (DCNN) separate DCNN into DCNN-I(Inner) and DCNN-C(Contour) to get more accurate detection. In HeHOP estimation, performed on local areas projected relative to the head orientation and position, a binary feature extraction approach based on depth data is developed to estimate the head orientation directly by global linear regression. An energy based partitioning of the input domain with a direct control of the final variance perpartition is proposed. A pose-indexed based multi-view (PIMV) face alignment method that obtains a more accurate prediction is proposed in. Researches also proposed a method to handle both images with severe occlusion and images with large head poses. In this paper, we will summarize some state-of-art methods on FLD and analysis their advantages and disadvantages. Based on this, we will have a discussion on some feasible research areas.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecs-17.2017.47How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jinghao Wen
PY  - 2016/06
DA  - 2016/06
TI  - Summary on Facial Landmark Detection
BT  - 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.47
DO  - https://doi.org/10.2991/mecs-17.2017.47
ID  - Wen2016/06
ER  -