Multi-view coding for image-based rendering using 3-D scene geometry
Magnor, M.
Ramanathan, P.
Girod, B.
Max-Planck-Inst. fur Informatik, Saarbrucken, Germany;
This paper appears in: Circuits and Systems for Video Technology, IEEE Transactions on
Publication Date: Nov. 2003
Volume: 13,
Issue: 11
On page(s): 1092- 1106
ISSN: 1051-8215
INSPEC Accession Number: 7779735
Digital Object Identifier: 10.1109/TCSVT.2003.817630
Current Version Published: 2003-10-27
Abstract
To store and transmit the large amount of image data necessary for Image-based Rendering (IBR), efficient coding schemes are required. This paper presents two different approaches which exploit three-dimensional scene geometry for multi-view compression. In texture-based coding, images are converted to view-dependent texture maps for compression. In model-aided predictive coding, scene geometry is used for disparity compensation and occlusion detection between images. While both coding strategies are able to attain compression ratios exceeding 2000:1, individual coding performance is found to depend on the accuracy of the available geometry model. Experiments with real-world as well as synthetic image sets show that texture-based coding is more sensitive to geometry inaccuracies than predictive coding. A rate-distortion theoretical analysis of both schemes supports these findings. For reconstructed approximate geometry models, model-aided predictive coding performs best, while texture-based coding yields superior coding results if scene geometry is exactly known.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
