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Model compression of SDM-based face alignment for mobile applications

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Model compression of SDM-based face alignment for mobile applications

Content Provider	IET Digital Library
Author	Shen, Yehu Jiang, Quansheng Yang, Yong Wang, Bangfu Zhu, Qixin
Abstract	Face alignment could be widely used in face recognition, expression recognition, face-based AR applications etc. Cascaded-regression-based face alignment algorithms have been popular in recent years for their low computational costs and impressive results in uncontrolled scenarios. Unfortunately, the size of the trained model is quite large for cascaded-regression-based methods which makes it unsuitable for commercial applications on mobile phones. In this study, the authors proposed a data compression method for the trained model of the supervised descent method (SDM). Firstly, the distribution of the model data was estimated using a non-parametric method. Then an adaptive quantisation algorithm was proposed to quantise the model data. Finally, their adaptive quantisation algorithm was tightly coupled with the SDM training process to fine tune the results. The quantitative experimental results proved that their proposed method could compress the data model to <20% of its original size without hurting the performances. The proposed method has been integrated into a mobile AR application, subjective evaluations proved that the proposed compression method could provide similar visual effects compared with the uncompressed counterpart.
Starting Page	1712
Ending Page	1718
Page Count	7
Volume Number	2018
e-ISSN	20513305
Issue Number	Issue 16, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/joe/2018/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8294
Journal	The Journal of Engineering
Publisher	The Institution of Engineering and Technology
Publisher Date	2018-08-16
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Adaptive Quantisation Algorithm Cascaded-regression-based Face Alignment Algorithm Cascaded-regression-based Method Commercial Application Computer Vision And Image Processing Technique Data Compression Data Compression Method Data Model Expression Recognition Face Recognition Face-based AR Application Gradient Method Image Coding Impressive Result Learning in AI Low Computational Cost Mobile Application Mobile AR Application Mobile Phones Model Compression Model Data Nonparametric Method Quantisation (signal) Quantitative Experimental Result Regression Analysis SDM Training Process SDM-based Face Alignment Statistics Supervised Descent Method Trained Model
Content Type	Text
Resource Type	Article

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