Towards an Embedded Real-Time High Resolution Vision System

This paper proposes an approach to image processing for high performance vision systems. Focus is on achieving a scalable method for real-time disparity estimation which can support high resolution images and large disparity ranges. The presented implementation is a non-local matching approach build...

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Bibliographic Details
Published inADVANCES IN VISUAL COMPUTING (ISVC 2014), PT II pp. 541 - 550
Main Authors Ekstrand, Fredrik, Ahlberg, Carl, Ekström, Mikael, Spampinato, Giacomo
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Cham Springer International Publishing 2014
SeriesLecture Notes in Computer Science
Subjects
Disparity Estimation
FPGA Implementation
Stereo Correspondence
Stereo Match
Stereo Vision
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Summary:This paper proposes an approach to image processing for high performance vision systems. Focus is on achieving a scalable method for real-time disparity estimation which can support high resolution images and large disparity ranges. The presented implementation is a non-local matching approach building on the innate qualities of the processing platform which, through utilization of a heterogeneous system, combines low-complexity approaches into performing a high-complexity task. The complementary platform composition allows for the FPGA to reduce the amount of data to the CPU while at the same time promoting the available informational content, thus both reducing the workload as well as raising the level of abstraction. Together with the low resource utilization, this allows for the approach to be designed to support advanced functionality in order to qualify as part of unified image processing in an embedded system.
ISBN:9783319143637
3319143638
9783319143644
3319143646
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-14364-4_52