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 fundamentals -- 2.2.1. 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 model.

4.3. 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 model -- 5.2.3. 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 -- 6.1. Introduction -- 6.2. Feature points -- 6.2.1. Point detection -- 6.2.2. Edge-based feature points -- 6.2.3. Stable regions: IBR and MSER -- 6.3. Feature point descriptors -- 6.3.1. Scale-invariant feature transform -- 6.3.2. Gradient Location and Orientation Histogram -- 6.3.3. The DAISY descriptor -- 6.3.4. Speeded-Up Robust Features (SURF) -- 6.3.5. Multi-scale Oriented Patches (MOPS) -- 6.3.6. Shape context -- 6.4. Image matching -- 6.4.1. Descriptor matching -- 6.4.2. Correspondence group detection -- 6.5. Conclusion -- 6.6. Bibliography.

Chapter 7. Multi- and Stereoscopic Matching, Depth and Disparity -- 7.1. Introduction -- 7.2. Difficulties, primitives and stereoscopic matching -- 7.2.1. Difficulties -- 7.2.2. Primitives and density -- 7.3. Simplified geometry and disparity -- 7.4. A description of stereoscopic and multiscopic methods -- 7.4.1. Local and global matching algorithms -- 7.4.2. Principal constraints -- 7.4.3. Energy costs -- 7.5. Methods for explicitly accounting for occlusions -- 7.5.1. A local stereoscopic method - seeds propagation -- 7.5.2. A global multiscopic method -- 7.6. Conclusion -- 7.7. Bibliography -- Chapter 8. 3D Scene Reconstruction and Structuring -- 8.1. Problems and challenges -- 8.2. Silhouette-based reconstruction -- 8.2.1. Silhouette extraction methods -- 8.2.2. Reconstruction methods -- 8.2.3. Improving volume reconstruction -- 8.3. Industrial application -- 8.3.1. Hardware acceleration -- 8.3.2. Results -- 8.4. Temporally structuring reconstructions -- 8.4.1. Generalized skeletal extraction -- 8.4.2. Calculating displacement fields -- 8.5. Conclusion -- 8.6. Bibliography -- Chapter 9. Synthesizing Intermediary Viewpoints -- 9.1. Introduction -- 9.2. Viewpoint synthesis by interpolation and extrapolation -- 9.2.1. Direct and inverse projections -- 9.2.2. Reducing distortions in viewpoint synthesis -- 9.2.3. Viewpoint interpolation -- 9.3. Inpainting uncovered zones -- 9.3.1. Overview of 2D inpainting techniques -- 9.3.2. 3D Inpainting -- 9.4. Conclusion -- 9.5. Bibliography -- PART 3. STANDARDS AND COMPRESSION OF 3D VIDEO -- Chapter 10. Multiview Video Coding (MVC) -- 10.1. Introduction -- 10.2. Specific approaches to stereoscopy -- 10.2.1. Formats -- 10.2.2. Associated coding techniques -- 10.3. Multiview approaches -- 10.3.1. Formats -- 10.3.2. Associated coding techniques -- 10.4. Conclusion -- 10.5. Bibliography.

Chapter 11. 3D Mesh Compression -- 11.1. Introduction -- 11.2. Compression basics: rate-distortion trade-off -- 11.3. Multiresolution coding of surface meshes -- 11.4. Topological and progressive coding -- 11.4.1. Monoresolution compression -- 11.4.2. Multiresolution compression -- 11.5. Mesh sequence compression -- 11.5.1. Definitions -- 11.5.2. Methods using spatio-temporal prediction -- 11.5.3. Methods with prior segmentation -- 11.5.4. Transform-based methods -- 11.6. Quality evaluation: classic and perceptual metrics -- 11.6.1. Classic metrics -- 11.6.2. Perceptual metrics -- 11.7. Conclusion -- 11.8. Bibliography -- Chapter 12. Coding Methods for Depth Videos -- 12.1. Introduction -- 12.2. Analyzing the characteristics of a depth map -- 12.3. Depth coding methods -- 12.3.1. Methods using the intrinsic characteristics of depth maps -- 12.3.2. Methods exploiting correlation with associated textures -- 12.3.3. Methods optimizing depth coding for the quality of synthesized views -- 12.4. Conclusion -- 12.5. Bibliography -- Chapter 13. Stereoscopic Watermarking -- 13.1. Introduction -- 13.2. Constraints of stereoscopic video watermarking -- 13.2.1. Theoretical framework -- 13.2.2. Properties -- 13.2.3. Corpus -- 13.2.4. Conclusion -- 13.3. State of the art for stereoscopic content watermarking -- 13.4. Comparative study -- 13.4.1. Transparency -- 13.4.2. Robustness -- 13.4.3. Computation cost -- 13.4.4. Conclusion -- 13.5. Conclusions -- 13.6. Bibliography -- PART 4. RENDERING AND 3D DISPLAY -- Chapter 14. HD 3DTV and Autostereoscopy -- 14.1. Introduction -- 14.2. Technological principles -- 14.2.1. Stereoscopic systems using glasses -- 14.2.2. Autostereoscopic displays -- 14.2.3. Optical elements -- 14.2.4. Measurement of autostereoscopic display -- 14.3. Design of mixing filters -- 14.4. View generation and interleaving.

14.4.1. Virtual view generation -- 14.4.2. View interleaving -- 14.5. Future developments -- 14.6. Conclusion -- 14.7. Bibliography -- Chapter 15. Augmented and/or Mixed Reality -- 15.1. Introduction -- 15.2. Real-time pose computation -- 15.2.1. Pose computation requirements -- 15.2.2. Image/model mapping -- 15.2.3. Pose computation: principal PnP algorithms -- 15.2.4. Pose computation and planar surfaces -- 15.3. Model acquisition -- 15.3.1. Offline modeling -- 15.3.2. Online modeling -- 15.4. Conclusion -- 15.5. Bibliography -- Chapter 16. Visual Comfort and Fatigue in Stereoscopy -- 16.1. Introduction -- 16.2. Visual comfort and fatigue: definitions and indications -- 16.2.1. Visual fatigue -- 16.2.2. Visual comfort and discomfort -- 16.2.3. Detection and evaluation of visual fatigue and discomfort -- 16.3. Signs and symptoms of fatigue and discomfort -- 16.3.1. Ocular and ocularmotor fatigue -- 16.3.2. Cognitive fatigue -- 16.3.3. Signs and symptoms linked to discomfort -- 16.4. Sources of visual fatigue and discomfort -- 16.4.1. Ocular constraints -- 16.4.2. Cognitive constraints -- 16.5. Application to 3D content and technologies -- 16.5.1. The comfort zone -- 16.5.2. Reproduction artifacts -- 16.5.3. Focus and blurring effects -- 16.5.4. Visual attention -- 16.5.5. Flaws or absence of the motion parallax -- 16.5.6. Exposure duration and training -- 16.6. Predicting visual fatigue and discomfort: first models -- 16.7. Conclusion -- 16.8. Bibliography -- Chapter 17. 2D-3D Conversion -- 17.1. Introduction -- 17.2. The 2D-3D conversion workflow -- 17.3. Preparing content for conversion -- 17.3.1. Depth script -- 17.3.2. The advantage of video over fixed images -- 17.3.3. The automatic conversion trap -- 17.3.4. Specific cases of automatic conversion -- 17.3.5. Optimal content for 2D-3D conversion -- 17.4. Conversion stages.

17.4.1. The segmentation stage.