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1. PRECISION ENHANCEMENT OF 3-D SURFACES FROM COMPRESSED
MULTIVIEW DEPTH MAPS
ABSTRACT
Transmitting depth maps captured from multipleviewpoints of a 3-D scene enables a
wide range of receiver-side 3-D applications, including virtual view synthesis viadepth-image-
based rendering (DIBR). Observing that compresseddepth maps from different viewpoints
constitute multiple descriptions(MD) of the same signal, we propose to reconstruct 3-Dsurfaces
of the scene by considering multiple compressed depthmaps jointly. Specifically, we propose an
alternating projectionalgorithm, inspired by the theory of projection onto convex sets(POCS),
which at convergence returns a 3-D surface that satisfiesthree sets of conditions: spatial
smoothness prior, quantizationbin constraints in the block transform domain, and inter-
viewconsistency. We present a theoretical proof that shows convergenceof our algorithm under
benign conditions. Compared to existing multi view depth map denoising schemes and single
imagede-quantization schemes, our proposed solution achieves higherobjective quality for both
reconstructed depth maps and synthesizedvirtual views.