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3D-TV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges
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Feldname
Details
Vorliegende Sprache
eng
ISBN
978-1-4419-9963-4
Name
Zhu, Ce
Zhao, Yin
Name ANZEIGE DER KETTE
Zhao, Yin
Name
Yu, Lu
Tanimoto, Masayuki
T I T E L
3D-TV System with Depth-Image-Based Rendering
Zusatz zum Titel
Architectures, Techniques and Challenges
Verlagsort
New York, NY [u.a.]
Verlag
Springer
Erscheinungsjahr
2013
2013
Umfang
Online-Ressource (XII, 478 p. 130 illus., 56 illus. in color, digital)
Reihe
SpringerLink. Bücher
Notiz / Fußnoten
Description based upon print version of record
Weiterer Inhalt
3D-TV System with Depth-Image-Based Rendering; Preface; Acknowledgment; Contents; Part I System Overview; 1 An Overview of 3D-TV System Using Depth-Image-Based Rendering; Abstract; 1.1…Introduction; 1.2…Key Technologies of the Depth-Based 3D-TVDepth-Based 3D-TV System; 1.2.1 Content Generation; 1.2.2 View Synthesis with DIBR; 1.2.3 3D Video Compression; 1.2.4 3D Video Transmission3D Video Transmission and Storage; 1.2.5 3D Visualization3D Visualization and Related Perceptual IssuePerceptual Issues; 1.2.6 3D Quality EvaluationQuality Evaluation. 1.3…Depth-Based System Versus Stereoscopic System: Advantages, Challenges, and Perspectives1.3.1 Differences and Advantages of the Depth-Based System; 1.3.2 Challenges and Research Cooperation; 1.3.3 Standardization Efforts; 1.4…Conclusion; Acknowledgment; References; Part II Content Generation; 2 Generic Content Creation for 3D Displays; Abstract; 2.1…Introduction; 2.2…Requirements on Future 3D Video Applications; 2.3…Functional Concept of Auto-Stereoscopic Displays; 2.4…Generic Display-Agnostic Production Workflow; 2.5…Calibration, Rectification, and Stereo Correction. 2.6…Algorithms for Robust Depth Estimation2.7…Image-Based Rendering Using Depth Maps; 2.8…Extension Toward Multi-Camera Systems; 2.9…Conclusions; References; 3 Stereo Matching and Viewpoint Synthesis FPGAFPGA Implementation; Abstract; 3.1…Introduction; 3.1.1 Stereoscopic Depth Scaling; 3.1.2 3D Autostereoscopic Displays; 3.1.3 Free Viewpoint TV; 3.1.4 3D Gesture Recognition; 3.2…Stereo Matching Algorithm Principles; 3.2.1 Matching Cost Calculation; 3.2.2 Disparity Computation; 3.2.3 Disparity Map Refinement; 3.2.3.1 Cross-Check; 3.2.3.2 Disparity Voting. 4.1…Introduction4.2…Fundamentals of 2D-to-3D Video Conversion2D-to-3D Video Conversion; 4.2.1 What is 2D-to-3D Video Conversion2D-to-3D Video Conversion?; 4.2.2 Why is 2D-to-3D Video Conversion2D-to-3D Video Conversion Possible?; 4.2.3 How is 2D Video Converted into 3D?; 4.2.4 Monocular Depth CueDepth Cues in Video Sequences; 4.2.5 DIBR Framework for 2D-to-3D Video Conversion2D-to-3D Video Conversion; 4.3…Strategies for DIBR-Based 2D-to-3D Video Conversion2D-to-3D Video Conversion; 4.3.1 Predefined Scene Models; 4.3.2 Surrogate Depth Information. 4.3.3 Depth Estimation from Motion ParallaxMotion Parallax. 3.3…Co-Designing the Algorithm and Hardware Implementation3.3.1 Preprocessor Hardware Architecture; 3.3.1.1 CT; 3.3.1.2 Hamming DistanceHamming distance Computation; 3.3.1.3 Support Region Builder; 3.3.2 DP Hardware Architecture; 3.3.3 Postprocessor Hardware Architecture; 3.3.3.1 Cross-Check; 3.3.3.2 Disparity Voting; 3.3.3.3 Median Filter; 3.4…Viewpoint Synthesis Kernel; 3.5…System Quality Performance; 3.5.1 Stereo Matching; 3.5.2 View Synthesis; 3.6…System Speed Performance; 3.7…Conclusion; References; 4 DIBR-Based Conversion from Monoscopic to Stereoscopic and Multi-View Video; Abstract
Titelhinweis
Buchausg. u.d.T.ISBN: 978-1-441-99963-4
ISBN
ISBN 978-1-4419-9964-1
Klassifikation
TTBM
UYS
TEC008000
COM073000
621.388
621.382
TK5102.9
TA1637-1638
TK7882.S65
Kurzbeschreibung
Riding on the success of 3D cinema blockbusters and advances in stereoscopic display technology, 3D video applications have gathered momentum in recent years. 3D-TV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges surveys depth-image-based 3D-TV systems, which are expected to be put into applications in the near future. Depth-image-based rendering (DIBR) significantly enhances the 3D visual experience compared to stereoscopic systems currently in use. DIBR techniques make it possible to generate additional viewpoints using 3D warping techniques to adjust the perceived depth of stereoscopic videos and provide for auto-stereoscopic displays that do not require glasses for viewing the 3D image. The material includes a technical review and literature survey of components and complete systems, solutions for technical issues, and implementation of prototypes. The book is organized into four sections: System Overview, Content Generation, Data Compression and Transmission, and 3D Visualization and Quality Assessment. This book will benefit researchers, developers, engineers, and innovators, as well as advanced undergraduate and graduate students working in relevant areas.
SWB-Titel-Idn
373430264
Signatur
Springer E-Book
Bemerkungen
Elektronischer Volltext - Campuslizenz
Elektronische Adresse
$uhttp://dx.doi.org/10.1007/978-1-4419-9964-1
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