Face databases
Face databases
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DOI：
10.1007/0-387-27257-7_14
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发表时间：
2005-01-01
期刊：
影响因子：
--
通讯作者：
Gross, R
中科院分区：
文献类型：
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作者：
Gross, R
由于人脸的非刚性和复杂的三维结构，人脸的外观受到许多因素的影响，包括身份、人脸姿势、光照、面部表情、年龄、遮挡和面部毛发。开发对这些变化强大的算法需要足够大的数据库，其中包括这些因素的仔细控制的变化。此外，为了对算法进行比较评估，公共数据库是必要的。收集高质量的数据库是一项资源密集型任务：但公共人脸数据库的可用性对该领域的进步非常重要。在这一章中，我们回顾了27个公开可用的人脸识别、人脸检测和面部表情分析数据库。
Because of its nonrigidity and complex three-dimensional (3D) structure, the appearance of a face is affected by a large number of factors including identity, face pose, illumination, facial expression, age, occlusion, and facial hair. The development of algorithms robust to these variations requires databases of sufficient size that include carefully controlled variations of these factors. Furthermore, common databases are necessary to comparatively evaluate algorithms. Collecting a high quality database is a resource-intensive task: but the availability of public face databases is important for the advancement of the field. In this chapter we review 27 publicly available databases for face recognition, face detection, and facial expression analysis.