Single 2D Image-based 3D Face Reconstruction and Its Application in Pose Estimation

Issue title: Fundamentals of Knowledge Technology

Article type: Research Article

Authors: Gong, Xun^; | Wang, Guoyin^; | Xiong, Lili

Affiliations: Chongqing Key Lab of Computer Network and Communication Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China | School of Information Science and Technology, Southwest Jiaotong University Chengdu 600031, P.R. China. E-mail: gongzzzz@126.com; wanggy@ieee.org | Institute of Computer Science and Technology Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China

Abstract: Human beings are born with a natural capacity of recovering shape from merely one image. However, it is still a challenging mission for current techniques to make a computer have such an ability. To simulate the modeling procedure of human visual system, a Ternary Deformation Framework (TDF) is proposed to reconstruct a realistic 3D face from one 2D frontal facial image, with prior knowledge regarding facial shape learnt from a 3D face data set. Based upon the reconstructed 3D face, a novelmethod via linear regression is then proposed to estimate that person's pose on another image with pose variations. Simulation results show that TDF outperforms the conventional methods with respect to the modeling precision and that reconstructions on real photographs have achieved favorable visual effects. Moreover, the comparison results validated the effectiveness of using the 3D face in the proposed pose estimation method.

Keywords: face reconstruction, pose estimation, deformation, linear regression

DOI: 10.3233/FI-2009-125

Journal: Fundamenta Informaticae, vol. 94, no. 2, pp. 179-195, 2009