دانلود کتاب Face geometry and appearance modeling : concepts and applications

Human faces are familiar to our visual systems. We easily recognize a person's face in arbitrary lighting conditions and in a variety of poses; detect small appearance changes; and notice subtle expression details. Can computer vision systems process face images as well as human vision systems can? Face image processing has potential applications in surveillance, image and video search, social networking, and other domains. A comprehensive guide to this fascinating topic, this book provides a systematic description of modeling face geometry and appearance from images, including information on mathematical tools, physical concepts, image processing and computer vision techniques, and concrete prototype systems. The book will be an excellent reference for researchers and graduate students in computer vision, computer graphics, and multimedia as well as application developers who would like to gain a better understanding of the state of the art ''Human faces are familiar to our visual systems. We easily recognize a person's face in arbitrary lighting conditions and in a variety of poses; detect small appearance changes; and notice subtle expression details. Can computer vision systems process face images as well as human vision systems can? Face image processing has potential applications in surveillance, image and video search, social networking, and other domains. A comprehensive guide to this fascinating topic, this book provides a systematic description of modeling face geometry and appearance from images, including information on mathematical tools, physical concepts, image processing and computer vision techniques, and concrete prototype systems. The book will be an excellent reference for researchers and graduate students in computer vision, computer graphics, and multimedia as well as application developers who would like to gain a better understanding of the state of the art''--Provided by publisher.  Read more... Machine generated contents note: 1.Introduction -- 1.1.Literature review -- 1.2.Scope of the book -- 1.3.Notation -- 2.Shape models -- 2.1.Mesh -- 2.2.Parametric surfaces -- 2.3.Linear space representation -- 2.4.Expression space representation -- 3.Appearance models -- 3.1.Illumination models -- 3.2.Irradiance environment map -- 3.3.Spherical harmonics -- 3.4.Morphable model of face albedo -- 4.Shape modeling with active sensors -- 4.1.Laser scanners -- 4.2.Structured light systems -- 4.3.Structured light stereo systems -- 5.Shape modeling from images -- 5.1.Structure from motion approach -- 5.2.Stereovision approach -- 5.3.Two orthogonal views -- 5.4.A single view -- 6.Appearance modeling -- 6.1.Reflectometry -- 6.2.Reconstruction of irradiance environment maps -- 6.3.Illumination recovery from specular reflection -- 7.Joint shape and appearance modeling -- 7.1.Shape from shading -- 7.2.Face morphable model -- 7.3.Spherical harmonic basis morphable model -- 7.4.Data-driven bilinear illumination model -- 7.5.Spatially varying texture morphable model -- 7.6.Comparison between SHBMM- and MRF-based methods -- 8.Face animation -- 8.1.Talking head -- 8.2.Facial expression synthesis -- 8.3.Physically based facial expression synthesis -- 8.4.Morph-based facial expression synthesis -- 8.5.Expression mapping -- 8.6.Expression synthesis through feature motion propagation -- 9.Appearance editing -- 9.1.Detail transfer -- 9.2.Physiologically based approach -- 9.3.Virtual lighting -- 9.4.Active lighting -- 10.Model-based tracking and gaze correction -- 10.1.Head pose estimation -- 10.2.Monocular head pose tracking -- 10.3.Stereo head pose tracking -- 10.4.Multicamera head pose tracking -- 10.5.Eye-gaze correction for videoconferencing -- 11.Human computer interaction -- 11.1.Conversational agent -- 11.2.Face-based human interactive proof system