Acquisition ofFaceDepthInformation fromNearInfrared Images

Thispaperproposes amethod foracquiring face recognition becomes apopular issue (2), (3), (4), (5). More- depthinformation directly fromnearinfrared (NIR)images, over, inmostNIRbasedsystems, active NIRillumination is usingstatistical learning. Toperformsuchlearning, ground usedtominimize theinfluence ofenvironmental illumination. truthNIR imagesandrangedataarecaptured. A method . ofalignment between thetwoimagemodalities isproposed.Therefor tnvriagriapcroml Byconstructing thelowdimensional facesubspaces ofNIR illumination invariant facerecognition. imagesanddepthmaps,therawdataareprojected into Theinformation contained in2D faceimages, including respective subspaces. Themapping between thetwosubspaces is VL andNIRimages, isnotjustabouttheidentities ofthe learned. Theexperiment substantiates theaccuracy ofthedepth faces, butalso thedepths ofthefacesurfaces. Therecovery of recovered andtheeconomyoftimeandmemoryconsumed. depth mapsfrom2Dimages hasbeenresearched fordecades. Index Terms-DepthMap,NearInfrared Images, FaceAlign-Otherthanthemethods whichrecover the3D information ment, ImageWarp,3DFaceReconstruction