Multiresolution gabor feature extraction for real time applications

Yong Cheol Peter Cho; Nandhini Chadramoorthy; Kevin M. Irick; Vijayknshnan Narayanan

doi:10.1109/SiPS.2012.56

Multiresolution gabor feature extraction for real time applications

Yong Cheol Peter Cho, Nandhini Chadramoorthy, Kevin M. Irick, Vijayknshnan Narayanan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Multiresolution Gabor filters are used for feature extraction for a variety of applications. Most hardware implementations have focused on iterative mechanisms on fixed hardware for implementing the different levels of resolution. In contrast, we present a configurable architecture that enhances the resource utilization of the hardware fabric. Our results show that our implementation achieves real-time performance on 2048×1536 images and exhibits 6 times speed up over a GPU implementation. Further, our FPGA implementation achieves an energy-efficiency of processing 0.4 fps/W as compared to the GPU that achieves 0.036 fps/W.

Original language	English (US)
Title of host publication	Proceedings - 2012 IEEE Workshop on Signal Processing Systems, SiPS 2012
Pages	55-60
Number of pages	6
DOIs	https://doi.org/10.1109/SiPS.2012.56
State	Published - 2012
Event	2012 IEEE Workshop on Signal Processing Systems, SiPS 2012 - Quebec City, QC, Canada Duration: Oct 17 2012 → Oct 19 2012

Publication series

Name	IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
ISSN (Print)	1520-6130

Other

Other	2012 IEEE Workshop on Signal Processing Systems, SiPS 2012
Country/Territory	Canada
City	Quebec City, QC
Period	10/17/12 → 10/19/12

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Signal Processing
Applied Mathematics
Hardware and Architecture

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/SiPS.2012.56

Cite this

@inproceedings{09afa5e908b24bd497d1da0c8fa9672c,

title = "Multiresolution gabor feature extraction for real time applications",

abstract = "Multiresolution Gabor filters are used for feature extraction for a variety of applications. Most hardware implementations have focused on iterative mechanisms on fixed hardware for implementing the different levels of resolution. In contrast, we present a configurable architecture that enhances the resource utilization of the hardware fabric. Our results show that our implementation achieves real-time performance on 2048×1536 images and exhibits 6 times speed up over a GPU implementation. Further, our FPGA implementation achieves an energy-efficiency of processing 0.4 fps/W as compared to the GPU that achieves 0.036 fps/W.",

author = "Cho, {Yong Cheol Peter} and Nandhini Chadramoorthy and Irick, {Kevin M.} and Vijayknshnan Narayanan",

year = "2012",

doi = "10.1109/SiPS.2012.56",

language = "English (US)",

isbn = "9780769548562",

series = "IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation",

pages = "55--60",

booktitle = "Proceedings - 2012 IEEE Workshop on Signal Processing Systems, SiPS 2012",

note = "2012 IEEE Workshop on Signal Processing Systems, SiPS 2012 ; Conference date: 17-10-2012 Through 19-10-2012",

}

Cho, YCP, Chadramoorthy, N, Irick, KM & Narayanan, V 2012, Multiresolution gabor feature extraction for real time applications. in Proceedings - 2012 IEEE Workshop on Signal Processing Systems, SiPS 2012., 6363183, IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation, pp. 55-60, 2012 IEEE Workshop on Signal Processing Systems, SiPS 2012, Quebec City, QC, Canada, 10/17/12. https://doi.org/10.1109/SiPS.2012.56

Multiresolution gabor feature extraction for real time applications. / Cho, Yong Cheol Peter; Chadramoorthy, Nandhini; Irick, Kevin M. et al.
Proceedings - 2012 IEEE Workshop on Signal Processing Systems, SiPS 2012. 2012. p. 55-60 6363183 (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multiresolution gabor feature extraction for real time applications

AU - Cho, Yong Cheol Peter

AU - Chadramoorthy, Nandhini

AU - Irick, Kevin M.

AU - Narayanan, Vijayknshnan

PY - 2012

Y1 - 2012

N2 - Multiresolution Gabor filters are used for feature extraction for a variety of applications. Most hardware implementations have focused on iterative mechanisms on fixed hardware for implementing the different levels of resolution. In contrast, we present a configurable architecture that enhances the resource utilization of the hardware fabric. Our results show that our implementation achieves real-time performance on 2048×1536 images and exhibits 6 times speed up over a GPU implementation. Further, our FPGA implementation achieves an energy-efficiency of processing 0.4 fps/W as compared to the GPU that achieves 0.036 fps/W.

AB - Multiresolution Gabor filters are used for feature extraction for a variety of applications. Most hardware implementations have focused on iterative mechanisms on fixed hardware for implementing the different levels of resolution. In contrast, we present a configurable architecture that enhances the resource utilization of the hardware fabric. Our results show that our implementation achieves real-time performance on 2048×1536 images and exhibits 6 times speed up over a GPU implementation. Further, our FPGA implementation achieves an energy-efficiency of processing 0.4 fps/W as compared to the GPU that achieves 0.036 fps/W.

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BT - Proceedings - 2012 IEEE Workshop on Signal Processing Systems, SiPS 2012

T2 - 2012 IEEE Workshop on Signal Processing Systems, SiPS 2012

Y2 - 17 October 2012 through 19 October 2012

ER -

Multiresolution gabor feature extraction for real time applications

Abstract

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UN SDGs

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