Difference between revisions of "BeagleBoard/GSoC/2010 Projects/OpenCV"

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== Abstract==
 
== Abstract==
  
This project aims accelerate some of the low-level OpenCV libraries. Few of the algorithms will be ported to on-chip DSP found on BeagleBoard. The execution of this project will be carried out in two phase. In the first phase, some of the low-level OpenCV API like cvDFT(), cvSobel(), cvAvgSdv()and cvIntegral will be ported to DSP. In the second phase, an application, that makes use of these accelerated libraries will be built for demonstration.
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This project aims accelerate some of the low-level OpenCV libraries. Few of the algorithms will be ported to on-chip DSP found on BeagleBoard. The execution of this project will be carried out in two phase. In the first phase, some of the low-level OpenCV API like cvDFT(), cvSobel(), cvCvtColor() and cvIntegral() will be ported to DSP. In the second phase, an application, that makes use of these accelerated libraries will be built for demonstration.
  
 
== Documentation ==
 
== Documentation ==
  
 
See http://code.google.com/p/opencv-dsp-acceleration/wiki/Instruction_For_Building_Examples for build instruction.
 
See http://code.google.com/p/opencv-dsp-acceleration/wiki/Instruction_For_Building_Examples for build instruction.

Revision as of 08:02, 13 August 2010

Project: OpenCV DSP Acceleration

Student: Pramod Poudel

Mentors: Katie Roberts-Hoffman, Luis Gustavo Lira

Repository: http://code.google.com/p/opencv-dsp-acceleration/

Blog: http://pramodpoudel.blogspot.com/

Latest blog entries: Extension:RSS -- Error: "http://pramodpoudel.blogspot.com/feeds/posts/default%7Ccharset=UTF-8%7Cmax=3" is not in the whitelist of allowed feeds. There are no allowed feed URLs in the whitelist.

Abstract

This project aims accelerate some of the low-level OpenCV libraries. Few of the algorithms will be ported to on-chip DSP found on BeagleBoard. The execution of this project will be carried out in two phase. In the first phase, some of the low-level OpenCV API like cvDFT(), cvSobel(), cvCvtColor() and cvIntegral() will be ported to DSP. In the second phase, an application, that makes use of these accelerated libraries will be built for demonstration.

Documentation

See http://code.google.com/p/opencv-dsp-acceleration/wiki/Instruction_For_Building_Examples for build instruction.