A Low-dimensional Illumination Space Representation of Human Faces for Arbitrary Lighting Conditions  

作　　者：HU Yuan-Kui WANG Zeng-Fu 

机构地区：[1]Department of Automation, University of Science and Technology of China, Hefei 230027, P. R. China

出　　处：《自动化学报》2007年第1期9-14,共6页Acta Automatica Sinica

基　　金：Supported by Open Foundation of National Laboratory of PatternRecognition, P.R.China.

摘　　要：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 di?erent 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 diffierent 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 e?ciency of LDISR.The proposed method for low-dimensional illumination space representation （LDISFt） 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：图象识别 基本映象 感光率 LDISR 自动化 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]