Overview of efficient high-quality state-of-the-art depth enhancement methods by thorough design space explorationReportar como inadecuado




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Journal of Real-Time Image Processing

pp 1–21

First Online: 27 October 2015Received: 06 June 2014Accepted: 30 September 2015

Abstract

High-quality 3D content generation requires high-quality depth maps. In practice, depth maps generated by stereo-matching, depth sensing cameras, or decoders, have low resolution and suffer from unreliable estimates and noise. Therefore, depth enhancement is necessary. Depth enhancement comprises two stages: depth upsampling and temporal post-processing. In this paper, we extend our previous work on depth upsampling in two ways. First we propose PWAS-MCM, a new depth upsampling method, and we show that it achieves on average the highest depth accuracy compared to other efficient state-of-the-art depth upsampling methods. Then, we benchmark all relevant state-of-the-art filter-based temporal post-processing methods on depth accuracy by conducting a parameter space search to find the optimum set of parameters for various upscale factors and noise levels. Then we analyze the temporal post-processing methods qualitatively. Finally, we analyze the computational complexity of each depth upsampling and temporal post-processing method by measuring the throughput and hardware utilization of the GPU implementation that we built for each method.

KeywordsDepth enhancement Depth upsampling Benchmark  Temporal filter Image plus depth Parameter space search Design space exploration  Download fulltext PDF



Autor: Luc Vosters - Chris Varekamp - Gerard de Haan

Fuente: https://link.springer.com/







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