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A 95pJ/label Wide-Range Depth-Estimation Processor for Full-HD Light-Field Applications on FPGA
Conference paper

A 95pJ/label Wide-Range Depth-Estimation Processor for Full-HD Light-Field Applications on FPGA

Li-De Chen, Yu-Ta Lu, Yu-Ling Hiao, Bo-Hsiang Yang, Wei-Chi Chen and Chao-Tsung Huang
2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings, pp.261-262
12/2018

Abstract

depth estimation FPGA Full HD light field Hardware and Architecture Electrical and Electronic Engineering
High-resolution and wide-range depth maps are the key to enable novel light-field applications, such as digital refocusing, view synthesis, and 3D reconstruction. In this paper, we present an energy-efficient depth-estimation processor on FPGA to meet this purpose. There are two major contributions. First, image-guided depth inference and upsampling is adopted and implemented to provide accurate depth maps while lowering the working frequency from 215MHz to 54MHz. Second, octave search range sampling is proposed to efficiently allocate depth labels for wide-depth-range scenes to save computation and maintain accuracy. Finally, the implementation result on Xilinx ZC706 shows ASIC-comparable energy efficiency-95pJ/label-for Full-HD five-view light fields at 30fps.

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