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[null,"1.","Record Nr.",null,"UNINA9910784547903321"]
[null,null,"Titolo",null,"Face processing [[electronic resource] ] : advanced modeling and methods / / edited by Wenyi Zhao and Rama Chellappa"]
[null,null,"Pubbl/distr/stampa",null,"Amsterdam ; ; Boston, : Elsevier / Academic Press, c2006"]
[null,null,"ISBN",null,"1-281-05319-8"]
[{"$nulls":4},"9786611053192"]
[{"$nulls":4},"0-08-048884-6"]
[null,null,"Descrizione fisica",null,"1 online resource (755 p.)"]
[null,null,"Disciplina",null,"006.37"]
[{"$nulls":4},"006.37 22"]
[null,null,"Soggetti",null,"Human face recognition (Computer science)"]
[{"$nulls":4},"Biometric identification - Research"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Front 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"]
[{"$nulls":4},"Chapter 7. Face Modeling by Information MaximizationPSYCHOPHYSICAL ASPECTS; Chapter 8. Face Recognition by Humans; Chapter 9. Predicting Human Performance for Face Recognition; Chapter 10. Spatial Distribution of Face and Object Representations in the Human Brain; PART III: ADVANCED METHODS; Chapter 11. On the Effect of Illumination and Face Recognition; Chapter 12. Modeling Illumination Variation with Spherical Harmonics; Chapter 13. A Multisubregion-Based Probabilistic Approach Toward Pose-Invariant Face Recognition"]
[{"$nulls":4},"Chapter 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 "]
[{"$nulls":4},"Still Image: Face Recognition from Multiple Still Images or Video Sequence; Chapter 18. Subset Modeling of Face Localization Error, Occlusion, and Expression; Chapter 19. Near Real-time Robust Face and Facial-Feature Detection with Information-Based Maximum Discrimination"]
[{"$nulls":4},"Chapter 20. Current Landscape of Thermal Infrared Face RecognitionChapter 21. Multimodal Biometrics: Augmenting Face With Other Cues; Index"]
[null,null,null,"Sommario/riassunto","Major 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"]