Paper Info
Title
Distributed real-time stereo matching on smart cameras
Abstract
This work introduces a real-time capable realization of an area-based stereo matching algorithm that is distributed on two embedded smart camera platforms. Combining common industrial smart cameras by this way enables real time stereo vision as a new application domain for these platforms. With the proposed method, the computational load can be shared among the two cameras equipped with a digital signal processor each. This results in an efficient processing of a computational intensive stereo matching algorithm--- the processing speed is significantly faster compared to a single chip solution. Beside that, various optimizations especially developed for digital signal processors additionally increase the performance. On input images of 450×375 and a disparity range of 60, the system achieves a stereo processing performance of 11.8 frames per second. The stereo matching quality is evaluated using the Middlebury stereo database where it is the only purely embedded algorithm.
Year
DOI
Venue
2010
10.1145/1865987.1866016
ICDSC
Keywords
Field
DocType
embedded algorithm,efficient processing,processing speed,stereo processing performance,real time stereo vision,stereo matching quality,computational intensive stereo,area-based stereo,middlebury stereo database,smart camera,digital signal processor,real-time stereo,energy efficiency,embedded,real time,stereo vision,chip,frames per second
Computer vision,Stereo cameras,Computer science,Digital signal processor,Stereopsis,Smart camera,Real-time computing,Chip,Frame rate,Artificial intelligence,Application domain,Computer stereo vision
Conference
Citations 
PageRank 
References 
3
0.41
19
Authors
2
Name
Order
Citations
PageRank
Christian Zinner11569.48
Martin Humenberger221715.74