3D face and motion from feature points using adaptive constrained minima

3D face and motion from feature points using adaptive constrained minima

This paper presents a novel method for reconstructing 3D geometry of camera motion and human-face model from a video sequence. The approach combines the concepts of Powell's line minimization with gradient descent. We adapted the line minimization with bracketing used in Powell's minimizat...

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書目詳細資料
Main Authors:	Chouvatut,V., Madarasmi,S., Tucerya,M.
格式:	Article
出版:	Maruzen Co., Ltd/Maruzen Kabushikikaisha 2015
主題:	Computer Graphics and Computer-Aided Design Applied Mathematics Electrical and Electronic Engineering Signal Processing
在線閱讀:	http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=80155164016&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38604
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Chiang Mai University

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