Color in computer vision : fundamentals and applications / / Theo Gevers ... [et al.] |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2012 |
Descrizione fisica | 1 online resource (386 p.) |
Disciplina | 006.3/7 |
Altri autori (Persone) | GeversTheo |
Collana | Wiley-IS&T Series in Imaging Science and Technology |
Soggetto topico |
Computer vision
Color vision Color photography |
ISBN |
1-283-52377-9
9786613836229 1-118-35008-1 1-118-35006-5 1-118-35007-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Color in Computer Vision; Contents; Preface; 1 Introduction; 1.1 From Fundamental to Applied; 1.2 Part I: Color Fundamentals; 1.3 Part II: Photometric Invariance; 1.3.1 Invariance Based on Physical Properties; 1.3.2 Invariance By Machine Learning; 1.4 Part III: Color Constancy; 1.5 Part IV: Color Feature Extraction; 1.5.1 From Luminance to Color; 1.5.2 Features, Descriptors, and Saliency; 1.5.3 Segmentation; 1.6 Part V: Applications; 1.6.1 Retrieval and Visual Exploration; 1.6.2 Color Naming; 1.6.3 Multispectral Applications; 1.7 Summary; PART I Color Fundamentals; 2 Color Vision
2.1 Introduction2.2 Stages of Color Information Processing; 2.2.1 Eye and Optics; 2.2.2 Retina: Rods and Cones; 2.2.3 Ganglion Cells and Receptive Fields; 2.2.4 LGN and Visual Cortex; 2.3 Chromatic Properties of the Visual System; 2.3.1 Chromatic Adaptation; 2.3.2 Human Color Constancy; 2.3.3 Spatial Interactions; 2.3.4 Chromatic Discrimination and Color Deficiency; 2.4 Summary; 3 Color Image Formation; 3.1 Lambertian Reflection Model; 3.2 Dichromatic Reflection Model; 3.3 Kubelka-Munk Model; 3.4 The Diagonal Model; 3.5 Color Spaces; 3.5.1 XYZ System; 3.5.2 RGB System 3.5.3 Opponent Color Spaces3.5.4 Perceptually Uniform Color Spaces; 3.5.5 Intuitive Color Spaces; 3.6 Summary; PART II Photometric Invariance; 4 Pixel-Based Photometric Invariance; 4.1 Normalized Color Spaces; 4.2 Opponent Color Spaces; 4.3 The HSV Color Space; 4.4 Composed Color Spaces; 4.4.1 Body Reflectance Invariance; 4.4.2 Body and Surface Reflectance Invariance; 4.5 Noise Stability and Histogram Construction; 4.5.1 Noise Propagation; 4.5.2 Examples of Noise Propagation through Transformed Colors; 4.5.3 Histogram Construction by Variable Kernel Density Estimation 4.6 Application: Color-Based Object Recognition4.6.1 Dataset and Performance Measure; 4.6.2 Robustness Against Noise: Simulated Data; 4.7 Summary; 5 Photometric Invariance from Color Ratios; 5.1 Illuminant Invariant Color Ratios; 5.2 Illuminant Invariant Edge Detection; 5.3 Blur-Robust and Color Constant Image Description; 5.4 Application: Image Retrieval Based on Color Ratios; 5.4.1 Robustness to Illuminant Color; 5.4.2 Robustness to Gaussian Blur; 5.4.3 Robustness to Real-World Blurring Effects; 5.5 Summary; 6 Derivative-Based Photometric Invariance; 6.1 Full Photometric Invariants 6.1.1 The Gaussian Color Model6.1.2 The Gaussian Color Model by an RGB Camera; 6.1.3 Derivatives in the Gaussian Color Model; 6.1.4 Differential Invariants for the Lambertian Reflection Model; 6.1.5 Differential Invariants for the Dichromatic Reflection Model; 6.1.6 Summary of Full Color Invariants; 6.1.7 Geometrical Color Invariants in Two Dimensions; 6.2 Quasi-Invariants; 6.2.1 Edges in the Dichromatic Reflection Model; 6.2.2 Photometric Variants and Quasi-Invariants; 6.2.3 Relations of Quasi-Invariants with Full Invariants 6.2.4 Localization and Discriminative Power of Full and Quasi-Invariants |
Record Nr. | UNINA-9910141438903321 |
Hoboken, NJ, : Wiley, c2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Human Behavior Understanding : First International Workshop, HBU 2010, Istanbul, Turkey, August 22, 2010, Proceedings / / edited by Albert Ali Salah, Theo Gevers, Nicu Sebe, Alessandro Vinciarelli |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (IV, 173 p. 45 illus.) |
Disciplina | 006.4 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
User interfaces (Computer systems) Computer graphics Biometrics (Biology) Artificial intelligence Optical data processing Pattern Recognition User Interfaces and Human Computer Interaction Computer Graphics Biometrics Artificial Intelligence Image Processing and Computer Vision |
ISBN |
1-280-38813-7
9786613566058 3-642-14715-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Challenges of Human Behavior Understanding -- Challenges of Human Behavior Understanding -- Analysis of Human Activities -- Understanding Macroscopic Human Behavior -- Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data -- From On-Going to Complete Activity Recognition Exploiting Related Activities -- Human Activity Recognition Using Inertial/Magnetic Sensor Units -- Non-verbal Action Dynamics -- Face Tracking and Recognition Considering the Camera’s Field of View -- Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis -- Consensus of Self-features for Nonverbal Behavior Analysis -- Visual Action Recognition -- Recognizing Human Action in the Wild -- Comparing Evaluation Protocols on the KTH Dataset -- 3D Mean-Shift Tracking of Human Body Parts and Recognition of Working Actions in an Industrial Environment -- Feature Representations for the Recognition of 3D Emblematic Gestures -- Social Signals -- Types of Help in the Teacher’s Multimodal Behavior -- Honest Signals and Their Contribution to the Automatic Analysis of Personality Traits – A Comparative Study -- Speech Emotion Classification and Public Speaking Skill Assessment -- Dominance Signals in Debates. |
Record Nr. | UNISA-996466214403316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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