caa a22 4500 605447616 CHVBK 20210128100133.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s11042-013-1791-3 doi (NATIONALLICENCE)springer-10.1007/s11042-013-1791-3 Fast 3D face reconstruction based on uncalibrated photometric stereo [Elektronische Daten] [Yujuan Sun, Junyu Dong, Muwei Jian, Lin Qi] This paper proposes a fast algorithm for three-dimensional face reconstruction using uncalibrated Photometric Stereo. With a reference face model, lighting parameters are estimated from input face images lighted by unknown illumination, which can be used in classical photometric stereo to estimate surface normal and albedo. The estimated results are used in turn to refine the lighting parameters until an optimal estimation of the surface normal is achieved. Differing from traditional optimization algorithms, the iteration method used in this paper is a unified process thus results accurate lighting estimation. The proposed method relaxes lighting constraints and simplifies the image acquisition procedure. The reconstructed results tested on YaleB and BU3D databases show the effectiveness of our method. Springer Science+Business Media New York, 2013 Photometric stereo nationallicence Face surface normal nationallicence Face albedo nationallicence Lambertian model nationallicence Sun Yujuan Department of Computer Science and Technology, Ocean University of China, Qingdao, China aut Dong Junyu Department of Computer Science and Technology, Ocean University of China, Qingdao, China aut Jian Muwei Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong aut Qi Lin Department of Computer Science and Technology, Ocean University of China, Qingdao, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/11(2015-06-01), 3635-3650 1380-7501 74:11<3635 2015 74 11042 https://doi.org/10.1007/s11042-013-1791-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-013-1791-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sun Yujuan Department of Computer Science and Technology, Ocean University of China, Qingdao, China aut NATIONALLICENCE 700 1- Dong Junyu Department of Computer Science and Technology, Ocean University of China, Qingdao, China aut NATIONALLICENCE 700 1- Jian Muwei Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong aut NATIONALLICENCE 700 1- Qi Lin Department of Computer Science and Technology, Ocean University of China, Qingdao, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/11(2015-06-01), 3635-3650 1380-7501 74:11<3635 2015 74 11042