自动化学报2007，Vol.33Issue(1)：9-14,6.
任意光照下人脸图像的低维光照空间表示
A Low-dimensional Illumination Space Representation of Human Faces for Arbitrary Lighting Conditions
摘要
Abstract
The proposed method for low-dimensional illumination space representation (LDISR) of human faces can not only synthesize a virtual face image when given lighting conditions but also estimate lighting conditions when given a face image. The LDISR is based on the observation that 9 basis point light sources can represent almost arbitrary lighting conditions for face recognition application and different human faces have a similar LDISR. The principal component analysis (PCA) and the nearest neighbor clustering method are adopted to obtain the 9 basis point light sources. The 9 basis images under the 9 basis point light sources are then used to construct an LDISR which can represent almost all face images under arbitrary lighting conditions.Illumination ratio image (IRI) is employed to generate virtual face images under different illuminations. The LDISR obtained from face images of one person can be used for other people. Experimental results on image reconstruction and face recognition indicate the efficiency of LDISR.关键词
LDISR/basis image/illumination ratio image/face recognitionKey words
LDISR/basis image/illumination ratio image/face recognition分类
信息技术与安全科学引用本文复制引用
胡元奎,汪增福..任意光照下人脸图像的低维光照空间表示[J].自动化学报,2007,33(1):9-14,6.基金项目
Supported by Open Foundation of National Laboratory of Pattern Recognition, P. R. China. （）
