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Hardware-Efficient Design of Real-Time Profile Shape Matching Stereo Vision Algorithm on FPGA
Joint Authors
Lillywhite, Kirt
Tippetts, Beau
Archibald, James K.
Lee, Dah-Jye
Source
International Journal of Reconfigurable Computing
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
A variety of platforms, such as micro-unmanned vehicles, are limited in the amount of computational hardware they can support due to weight and power constraints.
An efficient stereo vision algorithm implemented on an FPGA would be able to minimize payload and power consumption in microunmanned vehicles, while providing 3D information and still leaving computational resources available for other processing tasks.
This work presents a hardware design of the efficient profile shape matching stereo vision algorithm.
Hardware resource usage is presented for the targeted micro-UV platform, Helio-copter, that uses the Xilinx Virtex 4 FX60 FPGA.
Less than a fifth of the resources on this FGPA were used to produce dense disparity maps for image sizes up to 450 × 375, with the ability to scale up easily by increasing BRAM usage.
A comparison is given of accuracy, speed performance, and resource usage of a census transform-based stereo vision FPGA implementation by Jin et al.
Results show that the profile shape matching algorithm is an efficient real-time stereo vision algorithm for hardware implementation for resource limited systems such as microunmanned vehicles.
American Psychological Association (APA)
Tippetts, Beau& Lee, Dah-Jye& Lillywhite, Kirt& Archibald, James K.. 2014. Hardware-Efficient Design of Real-Time Profile Shape Matching Stereo Vision Algorithm on FPGA. International Journal of Reconfigurable Computing،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-510331
Modern Language Association (MLA)
Tippetts, Beau…[et al.]. Hardware-Efficient Design of Real-Time Profile Shape Matching Stereo Vision Algorithm on FPGA. International Journal of Reconfigurable Computing No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-510331
American Medical Association (AMA)
Tippetts, Beau& Lee, Dah-Jye& Lillywhite, Kirt& Archibald, James K.. Hardware-Efficient Design of Real-Time Profile Shape Matching Stereo Vision Algorithm on FPGA. International Journal of Reconfigurable Computing. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-510331
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510331