Title
Parametrizations of planar models for region-merging based lossy depth-map compression
Abstract
We present efficient methods for parametrizing planar models, to be used for depth value reconstruction inside selected regions in a depth image. The optimal plane for each region is represented using its quantized heights at three pixel locations. The decoder uses the decoded quantized heights to approximately represent the optimal plane. The three pixel locations are selected so that the distortion due to the approximation of the plane over the region is minimized. The planar reconstructions are used in competition with the piecewise constant reconstruction at the regions obtained through a merging process, where the two regions to be merged are those ensuring the optimal slope in the rate-distortion curve. The lossy depth compression algorithm including the planar modeling obtains a significantly better rate-distortion performance than the algorithm that uses only constant regions, with improvements up to 8 dB.
Year
DOI
Venue
2015
10.1109/3DTV.2015.7169377
2015 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)
Keywords
Field
DocType
Planar model,plane parametrization,entropy coding,greedy slope optimization
Iterative reconstruction,Lossy compression,Planar,Pixel,Depth map,Geometry,Data compression,Distortion,Mathematics,Piecewise
Conference
ISSN
Citations 
PageRank 
2161-2021
1
0.36
References 
Authors
9
2
Name
Order
Citations
PageRank
I. Schiopu1378.04
Ioan Tabus227638.23