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Depth map compression is important for compact "Texture-plus-depth" representation of a 3D scene, where texture and depth maps captured from multiple camera viewpoints are coded into the same format. Having received such format, the decoder can synthesize any novel intermediate view using texture and depth maps of two neighboring captured views via Depth-Image-Based Rendering (DIBR). In this paper, the authors combine two previously proposed depth map compression techniques that promote sparsity in the transform domain for coding Gain - graph-Based Transform (GBT) and Transform Domain Sparsification (TDS) - together under one unified optimization framework.
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