Multiview image coding with depth maps and 3D geometry for prediction

Block-based disparity compensation is an eÆcient prediction scheme for encoding multi-view image data. Available scene geometry can be used to further enhance prediction accuracy. In this paper, three di erent 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 di erent 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.