High-quality real-time hardware stereo matching based on guided image filtering

Stereo matching is a vital task in several emerging embedded vision applications requiring high-quality depth computation and real-time frame-rate. Although several stereo matching dedicated-hardware systems have been proposed in recent years, only few of them focus on balancing accuracy and speed....

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Bibliographic Details
Published in2014 Design, Automation & Test in Europe Conference & Exhibition (DATE) pp. 1 - 6
Main Authors Ttofis, Christos, Theocharides, Theocharis
Format Conference Proceeding
LanguageEnglish
Published EDAA 01.03.2014
Subjects
Accuracy
Algorithm design and analysis
Computer architecture
Embedded Systems
Field programmable gate arrays
FPGAs
Hardware
Matched filters
Real-time systems
Stereo Matching
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Summary:Stereo matching is a vital task in several emerging embedded vision applications requiring high-quality depth computation and real-time frame-rate. Although several stereo matching dedicated-hardware systems have been proposed in recent years, only few of them focus on balancing accuracy and speed. This paper proposes a hardware-based stereo matching architecture that aims to provide high accuracy and concurrently high performance in embedded vision applications. The proposed architecture integrates a compact and efficient design of the recently proposed guided image filter; an edge-preserving filter that reduces the hardware complexity of the implemented stereo algorithm, while at the same time maintains high-quality results. A prototype of the architecture has been implemented on a Kintex-7 FPGA board, achieving 60 fps for 720p resolution images. Moreover, the proposed design delivers leading accuracy when compared to state-of-the-art hardware implementations.
ISSN:1530-1591
1558-1101
DOI:10.7873/DATE.2014.369