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 proceedingConference 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 languageEnglish (US)
Title of host publicationProceedings - 2012 IEEE Workshop on Signal Processing Systems, SiPS 2012
Pages55-60
Number of pages6
DOIs
StatePublished - 2012
Event2012 IEEE Workshop on Signal Processing Systems, SiPS 2012 - Quebec City, QC, Canada
Duration: Oct 17 2012Oct 19 2012

Publication series

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

Other

Other2012 IEEE Workshop on Signal Processing Systems, SiPS 2012
CountryCanada
CityQuebec City, QC
Period10/17/1210/19/12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics
  • Hardware and Architecture

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