Surface Normals Based Landmarking for 3D Face Recognition Using Photometric Stereo Captures
Surface Normals Based Landmarking for 3D Face Recognition Using Photometric Stereo Captures
复制标题
使用光度立体捕获进行 3D 人脸识别的基于表面法线的地标
DOI:
10.1145/3345336.3345339
复制
发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Gao J
中科院分区:
文献类型:
--
作者:
Gao J
In recent decades, many 3D data acquisition methods have been developed to provide accurate and cost-effective 3D captures of the human face. An example system, which can accommodate both research and commercial applications, is the Photoface device. Photoface is based on the photometric stereo imaging technique. To improve the recognition performance using Photoface captures, a novel landmarking algorithm is first proposed by thresholding surface normals maps. The development of landmarking algorithms specifically for photometric stereo captures enables region-based feature extraction and fills a gap in the 3D face landmarking literature. Nasal curves and spherical patches are then used respectively for recognition and are evaluated on the 3DE-VISIR database, which contains Photoface captures with expressions. The neutral vs. non-neutral matching results demonstrate high face recognition performance using spherical patches and a KFA classifier, achieving a R1RR of 97.26% when only 24 patches are selected for matching.
DOI:
10.1109/tifs.2012.2224109
发表时间:
2013-01
影响因子:
6.8
作者:
S. Zafeiriou;G. Atkinson;M. Hansen;W. Smith;Vasileios Argyriou;M. Petrou;Melvyn L. Smith;Lyndon N. Smith
通讯作者:
S. Zafeiriou;G. Atkinson;M. Hansen;W. Smith;Vasileios Argyriou;M. Petrou;Melvyn L. Smith;Lyndon N. Smith
DOI:
10.1016/j.patcog.2018.01.011
发表时间:
2018
期刊:
Pattern Recognit.
影响因子:
--
作者:
Jiangning Gao;A. Evans
通讯作者:
A. Evans