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ISSCC 2015Session 23 · LOW-POWER SoCsDigital Processors

A 1920×1080 30fps 611mW Five-View Depth-Estimation Processor for Light-Field Applications

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📋 论文概要

本文提出了一款用于光场应用的五视图深度估计处理器,能够以30fps的速度处理1920×1080全高清深度图,功耗仅为611mW。该芯片在深度精度与功耗之间提供了灵活的权衡,解决了主动传感方法分辨率有限和功耗高的问题。

💡 主要创新点

重要性
发表年份
ISSCC 2015

🏷 关键词

深度估计光场低功耗处理器五视图全高清

📄 原文摘要

essential in emerging computer vision applications. Although active sensing methods can provide an accurate indoor depth map, they have limited resolution and consume significant power, such as the 2.1W time-of-flight sensor in [1]. In contrast, depth estimation for stereo RGB images can provide high-resolution depth maps, even in outdoor or low-power scenarios. And, the depth accuracy can be increased by using multi-view light-field images. This paper presents an integrated circuit which estimates full HD (1920×1080) depth maps at 30fps and provides a tradeoff between depth accuracy and power consumption based on two-/three-/five-view stereo images. It addresses design challenges with three primary contributions: 1) a stripe buffering scheme which is designed to reduce the DRAM bandwidth

👥 作者与机构

Hong-Hui Chen1, Chao-Tsung Huang2, Sih-Sian Wu1,

Chia-Liang Hung1, Tsung-Chuan Ma1, Liang-Gee Chen1 National Taiwan University, Taipei, Taiwan, National Tsing Hua University, Hsinchu, Taiwan 1 2 Depth information has become

分类:Digital Processors · 年份:ISSCC 2015