DocumentCode
2065752
Title
23.2 A 1920×1080 30fps 611 mW five-view depth-estimation processor for light-field applications
Author
Hong-Hui Chen ; Chao-Tsung Huang ; Sih-Sian Wu ; Chia-Liang Hung ; Tsung-Chuan Ma ; Liang-Gee Chen
Author_Institution
Nat. Taiwan Univ., Taipei, Taiwan
fYear
2015
fDate
22-26 Feb. 2015
Firstpage
1
Lastpage
3
Abstract
Depth information has become 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 induced by multi-view image access; 2) a four-bank interleaving architecture, which boosts computation performance by parallelizing belief-propagation (BP) operations; and, 3) an adaptive view selection unit, which realizes the accuracy-power tradeoff.
Keywords
DRAM chips; stereo image processing; DRAM bandwidth; adaptive view selection unit; belief-propagation operation; five-view depth-estimation processor; five-view stereo images; four-bank interleaving architecture; integrated circuit; light-field application; multiview image access; power 611 mW; power consumption; stripe buffering scheme; three-view stereo images; two-view stereo images; Bandwidth; Belief propagation; Buffer storage; Estimation; High definition video; Power demand; Random access memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Solid- State Circuits Conference - (ISSCC), 2015 IEEE International
Conference_Location
San Francisco, CA
Print_ISBN
978-1-4799-6223-5
Type
conf
DOI
10.1109/ISSCC.2015.7063106
Filename
7063106
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