Surface Normals Based Landmarking for 3D Face Recognition Using Photometric Stereo Captures

Surface Normals Based Landmarking for 3D Face Recognition Using Photometric Stereo Captures
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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
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发表时间:
2019
期刊:
--
影响因子:
--
通讯作者:
Gao J
Gao J
中科院分区:
--
文献类型:
--
作者:
Gao J

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近几十年来,已经开发了许多3D数据采集方法,以提供准确且具有成本效益的人脸3D捕获。Photoface设备是一个可以适应研究和商业应用的示例系统。Photoface基于光度立体成像技术。为了提高Photoface捕获图像的识别性能,首先提出了一种新的界标算法,通过阈值化表面法线图。专为光度立体捕捉地标算法的发展,使基于区域的特征提取,并填补了3D人脸地标文学的空白。鼻曲线和球形补丁,然后分别用于识别和评估的3DE-VISIR数据库,其中包含Photoface捕捉与表情。中性与非中性匹配的结果表明,使用球形补丁和KFA分类器的人脸识别性能很高,当只选择24个补丁进行匹配时,R1 RR达到97.26%。
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
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发表时间: 2018
期刊: Pattern Recognit.
影响因子: --
作者:
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通讯作者: A. Evans