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3D video : from capture to diffusion / / edited by Laurent Lucas, Céline Loscos, Yannick Remion
| 3D video : from capture to diffusion / / edited by Laurent Lucas, Céline Loscos, Yannick Remion |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2013 |
| Descrizione fisica | 1 online resource (482 p.) |
| Disciplina | 006.696 |
| Altri autori (Persone) |
LucasLaurent
LoscosCéline RemionYannick |
| Collana | Computer engineering series |
| Soggetto topico |
Three-dimensional display systems
3-D video (Three-dimensional imaging) |
| ISBN |
1-118-76191-X
1-118-76192-8 1-118-76186-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title page; Contents; Foreword; Notations; Acknowledgments; Introduction; PART 1. 3D ACQUISITION OF SCENES; Chapter 1. Foundation; 1.1. Introduction; 1.2. A short history; 1.2.1. The pinhole model; 1.2.2. Depth perception and binocular vision; 1.2.3. Multiview systems; 1.3. Stereopsis and 3D physiological aspects; 1.3.1. Psychophysical indices; 1.3.2. Monocular indices; 1.3.3. Ocular indices; 1.3.4. Binocular indices; 1.4. 3D computer vision; 1.5. Conclusion; 1.6. Bibliography; Chapter 2. Digital Cameras: Definitions and Principles; 2.1. Introduction
2.2. Capturing light: physical fundamentals2.2.1. Radiometry and photometry; 2.2.2. Wavelengths and color spaces; 2.3. Digital camera; 2.3.1. Optical components; 2.3.2. Electrical components; 2.3.3. Principal functions and their control; 2.3.4. Storage formats for images; 2.4. Cameras, human vision and color; 2.4.1. Adapting optics and electronics to human perception; 2.4.2. Controlling color; 2.5. Improving current performance; 2.5.1. HDR imaging; 2.5.2. Hyperspectral acquisition; 2.6. Conclusion; 2.7. Bibliography; Chapter 3. Multiview Acquisition Systems 3.1. Introduction: what is a multiview acquisition system?3.2. Binocular systems; 3.2.1. Technical description; 3.2.2. Principal uses; 3.2.3. Related databases; 3.3. Lateral or directional multiview systems; 3.3.1. Technical description; 3.3.2. Principal uses; 3.3.3. Related databases; 3.4. Global or omnidirectional multiview systems; 3.4.1. Technical description; 3.4.2. Principal uses; 3.4.3. Related databases; 3.5. Conclusion; 3.6. Bibliography; Chapter 4. Shooting and Viewing Geometries in 3DTV; 4.1. Introduction; 4.2. The geometry of 3D viewing; 4.2.1. Description 4.2.2. Setting the parametric model4.3. The geometry of 3D shooting; 4.3.1. Choosing a convenient geometry; 4.3.2. Setting the parametric model; 4.4. Geometric impact of the 3D workflow; 4.4.1. Rendered-to-shot space mapping; 4.4.2. 3D space distortion model; 4.5. Specification methodology for multiscopic shooting; 4.5.1. Controlling depth distortion; 4.5.2. Accurate depth effect; 4.6. OpenGL implementation; 4.7. Conclusion; 4.8. Bibliography; Chapter 5. Camera Calibration: Geometric and Colorimetric Correction; 5.1. Introduction; 5.2. Camera calibration; 5.2.1. Introduction 5.2.2. Camera model5.2.3. Calibration using a sight; 5.2.4. Automatic methods; 5.3. Radial distortion; 5.3.1. Introduction; 5.3.2. When to correct distortion?; 5.3.3. Radial distortion correction models; 5.4. Image rectification; 5.4.1. Introduction; 5.4.2. Problems; 5.4.3. Image-based methods; 5.4.4. Camera-based methods; 5.4.5. Correcting more than two images simultaneously; 5.5. Colorimetric considerations in cameras; 5.5.1. Elements of applied colorimetry; 5.5.2. Colorimetric calibration in cameras; 5.6. Conclusion; 5.7. Bibliography; PART 2. DESCRIPTION/RECONSTRUCTION OF 3D SCENES Chapter 6. Feature Points Detection and Image Matching |
| Record Nr. | UNINA-9910140183603321 |
| London ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
3D video : from capture to diffusion / / edited by Laurent Lucas, Céline Loscos, Yannick Remion
| 3D video : from capture to diffusion / / edited by Laurent Lucas, Céline Loscos, Yannick Remion |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2013 |
| Descrizione fisica | 1 online resource (482 p.) |
| Disciplina | 006.696 |
| Altri autori (Persone) |
LucasLaurent
LoscosCéline RemionYannick |
| Collana | Computer engineering series |
| Soggetto topico |
Three-dimensional display systems
3-D video (Three-dimensional imaging) |
| ISBN |
1-118-76191-X
1-118-76192-8 1-118-76186-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title page; Contents; Foreword; Notations; Acknowledgments; Introduction; PART 1. 3D ACQUISITION OF SCENES; Chapter 1. Foundation; 1.1. Introduction; 1.2. A short history; 1.2.1. The pinhole model; 1.2.2. Depth perception and binocular vision; 1.2.3. Multiview systems; 1.3. Stereopsis and 3D physiological aspects; 1.3.1. Psychophysical indices; 1.3.2. Monocular indices; 1.3.3. Ocular indices; 1.3.4. Binocular indices; 1.4. 3D computer vision; 1.5. Conclusion; 1.6. Bibliography; Chapter 2. Digital Cameras: Definitions and Principles; 2.1. Introduction
2.2. Capturing light: physical fundamentals2.2.1. Radiometry and photometry; 2.2.2. Wavelengths and color spaces; 2.3. Digital camera; 2.3.1. Optical components; 2.3.2. Electrical components; 2.3.3. Principal functions and their control; 2.3.4. Storage formats for images; 2.4. Cameras, human vision and color; 2.4.1. Adapting optics and electronics to human perception; 2.4.2. Controlling color; 2.5. Improving current performance; 2.5.1. HDR imaging; 2.5.2. Hyperspectral acquisition; 2.6. Conclusion; 2.7. Bibliography; Chapter 3. Multiview Acquisition Systems 3.1. Introduction: what is a multiview acquisition system?3.2. Binocular systems; 3.2.1. Technical description; 3.2.2. Principal uses; 3.2.3. Related databases; 3.3. Lateral or directional multiview systems; 3.3.1. Technical description; 3.3.2. Principal uses; 3.3.3. Related databases; 3.4. Global or omnidirectional multiview systems; 3.4.1. Technical description; 3.4.2. Principal uses; 3.4.3. Related databases; 3.5. Conclusion; 3.6. Bibliography; Chapter 4. Shooting and Viewing Geometries in 3DTV; 4.1. Introduction; 4.2. The geometry of 3D viewing; 4.2.1. Description 4.2.2. Setting the parametric model4.3. The geometry of 3D shooting; 4.3.1. Choosing a convenient geometry; 4.3.2. Setting the parametric model; 4.4. Geometric impact of the 3D workflow; 4.4.1. Rendered-to-shot space mapping; 4.4.2. 3D space distortion model; 4.5. Specification methodology for multiscopic shooting; 4.5.1. Controlling depth distortion; 4.5.2. Accurate depth effect; 4.6. OpenGL implementation; 4.7. Conclusion; 4.8. Bibliography; Chapter 5. Camera Calibration: Geometric and Colorimetric Correction; 5.1. Introduction; 5.2. Camera calibration; 5.2.1. Introduction 5.2.2. Camera model5.2.3. Calibration using a sight; 5.2.4. Automatic methods; 5.3. Radial distortion; 5.3.1. Introduction; 5.3.2. When to correct distortion?; 5.3.3. Radial distortion correction models; 5.4. Image rectification; 5.4.1. Introduction; 5.4.2. Problems; 5.4.3. Image-based methods; 5.4.4. Camera-based methods; 5.4.5. Correcting more than two images simultaneously; 5.5. Colorimetric considerations in cameras; 5.5.1. Elements of applied colorimetry; 5.5.2. Colorimetric calibration in cameras; 5.6. Conclusion; 5.7. Bibliography; PART 2. DESCRIPTION/RECONSTRUCTION OF 3D SCENES Chapter 6. Feature Points Detection and Image Matching |
| Record Nr. | UNINA-9910820287503321 |
| London ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||