OpenCV: Difference between revisions
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=== Downloads === |
=== Downloads === |
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The source can be downloaded from sourceforge, or OpenCV can be installed from the opencv package in the Fedora repository. To use OpenCV with python, also install the opencv-python package. |
The source can be downloaded from sourceforge, or OpenCV can be installed from the opencv package in the Fedora repository. To use OpenCV with python, also install the opencv-python package. |
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<pre> |
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$ yum install opencv opencv-python |
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</pre> |
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=== Links === |
=== Links === |
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Revision as of 23:50, 20 March 2008
About
Wikipedia: OpenCV
- OpenCV is an open source computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform, and runs on Mac OS X, Windows and Linux. It focuses mainly on real-time image processing, as such, if it finds Intel's Integrated Performance Primitives (IPP) on the system, it will use these commercial optimized routines to accelerate itself.
- OpenCV's application areas include:
- Human-Computer Interface (HCI)
- Object Identification
- Segmentation and Recognition
- Face Recognition
- Gesture Recognition
- Motion Tracking
- ...
Face Recognition
Nirav Patel reports success in basic image recognition on the XO Laptop (with xo-cam) with good timings using OpenCV and xawtv.
Sources: face.py haarcascade_frontalface_alt.xml
Downloads
The source can be downloaded from sourceforge, or OpenCV can be installed from the opencv package in the Fedora repository. To use OpenCV with python, also install the opencv-python package.
$ yum install opencv opencv-python
Links
- OpenCV Documentation Wiki
- OpenCV SourceForge site
- OpenCV homepage at intel