Post-processing algorithms for real-time active stereo vision

This paper presents post-processing algorithms which work on a commercial FPGA for high quality stereo vision results. Specially, in this paper we focus the description of algorithms and their performance evaluation results instead of explaining hardware architecture. The proposed algorithms consist...

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Bibliographic Details
Published inThe 18th IEEE International Symposium on Consumer Electronics (ISCE 2014) pp. 1 - 2
Main Authors Seung-min Choi, Jae-chan Jeong, Dae Hwan Hwang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2014
Subjects
Algorithm design and analysis
Field programmable gate arrays
Filling
filter
Filtering algorithms
FPGA
Hardware
post processing
real-time
Real-time systems
Stereo vision
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Summary:This paper presents post-processing algorithms which work on a commercial FPGA for high quality stereo vision results. Specially, in this paper we focus the description of algorithms and their performance evaluation results instead of explaining hardware architecture. The proposed algorithms consists of five sub-blocks in cascade manner, which are consistency check, hole filling, variance check, weighted median filter, and joint bilateral filter. The experimental results show that error rates are 6.02% (6.57% with no using) for real world camera input(1280×720 intensity, maximum disparity 256), and 8.30% (13.7% with no using) for Middlebury stereo image set when we use the proposed post-processing.
ISSN:0747-668X
2159-1423
DOI:10.1109/ISCE.2014.6884347