A GPU based implementation of center-surround distribution distance for feature extraction and matching

Aditi Rathi, Michael DeBole, Weina Ge, Robert Collins, Vijaykrishnan Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The release of general purpose GPU programming environments has garnered universal access to computing performance that was once only available to super-computers. The availability of such computational power has fostered the creation and re-deployment of algorithms, new and old, creating entirely new classes of applications. In this paper, a GPU implementation of the Center-Surround Distribution Distance (CSDD) algorithm for detecting features within images and video is presented. While an optimized CPU implementation requires anywhere from several seconds to tens of minutes to perform analysis of an image, the GPU based approach has the potential to improve upon this by up to 28X, with no loss in accuracy.

Original languageEnglish (US)
Title of host publicationDATE 10 - Design, Automation and Test in Europe
Pages172-177
Number of pages6
StatePublished - Jun 9 2010
EventDesign, Automation and Test in Europe Conference and Exhibition, DATE 2010 - Dresden, Germany
Duration: Mar 8 2010Mar 12 2010

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591

Other

OtherDesign, Automation and Test in Europe Conference and Exhibition, DATE 2010
CountryGermany
CityDresden
Period3/8/103/12/10

Fingerprint

Feature extraction
Program processors
Availability
Graphics processing unit

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Rathi, A., DeBole, M., Ge, W., Collins, R., & Narayanan, V. (2010). A GPU based implementation of center-surround distribution distance for feature extraction and matching. In DATE 10 - Design, Automation and Test in Europe (pp. 172-177). [5457215] (Proceedings -Design, Automation and Test in Europe, DATE).
Rathi, Aditi ; DeBole, Michael ; Ge, Weina ; Collins, Robert ; Narayanan, Vijaykrishnan. / A GPU based implementation of center-surround distribution distance for feature extraction and matching. DATE 10 - Design, Automation and Test in Europe. 2010. pp. 172-177 (Proceedings -Design, Automation and Test in Europe, DATE).
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Rathi, A, DeBole, M, Ge, W, Collins, R & Narayanan, V 2010, A GPU based implementation of center-surround distribution distance for feature extraction and matching. in DATE 10 - Design, Automation and Test in Europe., 5457215, Proceedings -Design, Automation and Test in Europe, DATE, pp. 172-177, Design, Automation and Test in Europe Conference and Exhibition, DATE 2010, Dresden, Germany, 3/8/10.

A GPU based implementation of center-surround distribution distance for feature extraction and matching. / Rathi, Aditi; DeBole, Michael; Ge, Weina; Collins, Robert; Narayanan, Vijaykrishnan.

DATE 10 - Design, Automation and Test in Europe. 2010. p. 172-177 5457215 (Proceedings -Design, Automation and Test in Europe, DATE).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The release of general purpose GPU programming environments has garnered universal access to computing performance that was once only available to super-computers. The availability of such computational power has fostered the creation and re-deployment of algorithms, new and old, creating entirely new classes of applications. In this paper, a GPU implementation of the Center-Surround Distribution Distance (CSDD) algorithm for detecting features within images and video is presented. While an optimized CPU implementation requires anywhere from several seconds to tens of minutes to perform analysis of an image, the GPU based approach has the potential to improve upon this by up to 28X, with no loss in accuracy.

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Rathi A, DeBole M, Ge W, Collins R, Narayanan V. A GPU based implementation of center-surround distribution distance for feature extraction and matching. In DATE 10 - Design, Automation and Test in Europe. 2010. p. 172-177. 5457215. (Proceedings -Design, Automation and Test in Europe, DATE).