Evaluating the quality of light fields computed from hand-held camera images
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
Free-viewpoint thumbnail for light field compression
SIGGRAPH '05 ACM SIGGRAPH 2005 Posters
International Journal of Computer Vision
Rate distortion analysis and bit allocation scheme for wavelet lifting-based multiview image coding
EURASIP Journal on Advances in Signal Processing
Colour volumetric compression for realistic view synthesis applications
Multimedia Tools and Applications
Capturing and view-dependent rendering of billboard models
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
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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.