Multiview image coding with depth maps and 3D geometry for prediction
Marcus A. Magnor, Peter Eisert, Bernd Girod · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Block-based disparity compensation is an efficient prediction scheme for encoding multi-view image data. Available scene geometry can be used to further enhance prediction accuracy. In this paper, three different strategies are compared that combine prediction based on depth maps and 3-D geometry. Three real-world image sets are used to examine prediction performance for different coding scenarios. Depth maps and geometry models are derived from the calibrated image data. Bit-rate reductions up to 10% are observed by suitably augmenting depth map-based with geometry-based prediction.