This paper focuses on the problem of human face pose estimation using single image. Because the traditional approaches for 2D-3D feature-based pose estimation problem requires two inputs, they can not work very well due to lack of correspondences of the input image. In this paper, we propose pose estimation algorithm for human face based on genetic algorithm. The proposed method overcomes the shortcomings by using a general 3D point-feature template as the correspondences and some more constraints onto the optimizing function. The experiments show the proposed method gives good performance in accuracy and robustness. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Zhang, C., Feng, G., & Lai, J. (2004). Robust pose estimation of face using genetic algorithm. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3338, 162–171. https://doi.org/10.1007/978-3-540-30548-4_19
Mendeley helps you to discover research relevant for your work.