LEADER 04196nam 2200649Ia 450 001 9910811458103321 005 20240515175129.0 010 $a1-281-05319-8 010 $a9786611053192 010 $a0-08-048884-6 035 $a(CKB)1000000000364713 035 $a(EBL)294125 035 $a(OCoLC)437181452 035 $a(SSID)ssj0000152727 035 $a(PQKBManifestationID)11150631 035 $a(PQKBTitleCode)TC0000152727 035 $a(PQKBWorkID)10339702 035 $a(PQKB)10170596 035 $a(Au-PeEL)EBL294125 035 $a(CaPaEBR)ebr10186388 035 $a(CaONFJC)MIL105319 035 $a(MiAaPQ)EBC294125 035 $a(EXLCZ)991000000000364713 100 $a20060216d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aFace processing $eadvanced modeling and methods /$fedited by Wenyi Zhao and Rama Chellappa 205 $a1st ed. 210 $aAmsterdam ;$aBoston $cElsevier / Academic Press$dc2006 215 $a1 online resource (755 p.) 300 $aDescription based upon print version of record. 311 $a0-12-088452-6 320 $aIncludes bibliographical references and index. 327 $aFront Cover; FACE PROCESSING: Advanced Modeling and Methods; Copyright Page; Contents; Contributors; Preface; PART I: THE BASICS; Chapter 1. A Guided Tour of Face Processing; Chapter 2. Eigenfaces and Beyond; Chapter 3. Introduction to the Statistical Evaluation of Face-Recognition Algorithms; PART II: FACE MODELING; COMPUTATIONAL ASPECTS; Chapter 4. 3D Morphable Face Model, a Unified Approach for Analysis and Synthesis of Images; Chapter 5. Expression-Invariant Three-Dimensional Face Recognition; Chapter 6. 3D Face Modeling From Monocular Video Sequences 327 $aChapter 7. Face Modeling by Information MaximizationPSYCHOPHYSICAL ASPECTS; Chapter 8. Face Recognition by Humans; Chapter 9. Predicting Human Performance for Face Recognition; Chapter 10. Spatial Distribution of Face and Object Representations in the Human Brain; PART III: ADVANCED METHODS; Chapter 11. On the Effect of Illumination and Face Recognition; Chapter 12. Modeling Illumination Variation with Spherical Harmonics; Chapter 13. A Multisubregion-Based Probabilistic Approach Toward Pose-Invariant Face Recognition 327 $aChapter 14. Morphable Models for Training a Component-Based Face-Recognition SystemChapter 15. Model-Based Face Modeling and TrackingWith Application to Videoconferencing; Chapter 16. A survey of 3D and Multimodal 3D+2D Face Recognition; Chapter 17. Beyond One Still Image: Face Recognition from Multiple Still Images or Video Sequence; Chapter 18. Subset Modeling of Face Localization Error, Occlusion, and Expression; Chapter 19. Near Real-time Robust Face and Facial-Feature Detection with Information-Based Maximum Discrimination 327 $aChapter 20. Current Landscape of Thermal Infrared Face RecognitionChapter 21. Multimodal Biometrics: Augmenting Face With Other Cues; Index 330 $aMajor strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume.This book begins with a comprehensive 606 $aHuman face recognition (Computer science) 606 $aBiometric identification$xResearch 615 0$aHuman face recognition (Computer science) 615 0$aBiometric identification$xResearch. 676 $a006.37 676 $a006.37 22 676 $a006.37 701 $aZhao$b Wenyi$0918067 701 $aChellappa$b Rama$0491442 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910811458103321 996 $aFace processing$94067177 997 $aUNINA