标题：Effective 3D Face Depth Estimation from a Single 2D Face Image
作者：Kong, Dezhi; Yang, Yang; Liu, Yun-Xia; Li, Min; Jia, Hongying
作者机构：[Kong, Dezhi; Yang, Yang; Li, Min] Shandong Univ, Sch Informat Sci & Engn, Jinan, Peoples R China.; [Liu, Yun-Xia] Shandong Univ, Sch Control Sci & 更多
会议名称：16th International Symposium on Communications and Information Technologies (ISCIT)
会议日期：SEP 26-28, 2016
来源：2016 16TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT)
关键词：3D face; Depth estimation; Delaunay triangulation; Similarity
摘要：In this paper, we proposed an efficient framework for depth estimation from a single 2D face image to apply in 3D face reconstruction. The proposed framework consists of three components. Firstly, we recover the corresponding 2D images from 3D face models of database, and the feature points of these images will be extracted to form the 2D-3D database. Secondly, the same feature points extraction steps are executed to the test 2D image. Finally, according to the similarity of the triangles of the feature points between the test image and 2D-3D database, the depth of the test 2D face will be recovered. The experimental results show that the proposed method can estimate depth from a single 2D face image efficiently and robustly.