TY - GEN
T1 - Accurate and efficient reconstruction of 3D faces from stereo images
AU - Le, Vuong
AU - Tang, Hao
AU - Cao, Liangliang
AU - Huang, Thomas S.
PY - 2010
Y1 - 2010
N2 - In this paper, we propose a novel algorithm for reconstructing the 3D shape and texture of human faces from two stereo images, which are captured from calibrated cameras. Our approach works in a sparse to dense manner: we first build a coarse shape estimation based on 3D keypoints, and then use a linear morphable model to efficiently match the detail shape and texture. Compared with the previous works, our algorithm can reconstruct the 3D face shape in a speed comparable with that of the fastest algorithm available, but gives a higher accuracy. It can also recover the texture with more complete, realistic looking. Our results show that the new algorithm possesses significant characteristics of a 3D face model reconstruction system, and is especially useful for face recognition and animation applications in practice.
AB - In this paper, we propose a novel algorithm for reconstructing the 3D shape and texture of human faces from two stereo images, which are captured from calibrated cameras. Our approach works in a sparse to dense manner: we first build a coarse shape estimation based on 3D keypoints, and then use a linear morphable model to efficiently match the detail shape and texture. Compared with the previous works, our algorithm can reconstruct the 3D face shape in a speed comparable with that of the fastest algorithm available, but gives a higher accuracy. It can also recover the texture with more complete, realistic looking. Our results show that the new algorithm possesses significant characteristics of a 3D face model reconstruction system, and is especially useful for face recognition and animation applications in practice.
KW - 3D face reconstruction
KW - Morphable model
KW - Multi-view
KW - Quantitative evaluation
KW - Stereopsis
UR - http://www.scopus.com/inward/record.url?scp=78651103332&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651103332&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2010.5651875
DO - 10.1109/ICIP.2010.5651875
M3 - Conference contribution
AN - SCOPUS:78651103332
SN - 9781424479948
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 4265
EP - 4268
BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010
Y2 - 26 September 2010 through 29 September 2010
ER -