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Updated: July 8th, 2008 05:26 PM CDT

Ch and OpenCV: An Open Relationship With Vision

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The broad functional areas supported by OpenCV include:

  • Basic structures and array manipulations.
  • Image processing and analysis.
  • Object structural analysis.
  • Motion analysis and object tracking.
  • Object and face recognition.
  • Camera calibration and 3D reconstruction.
  • Stereo, 3D tracking and statistically boosted classifiers.
  • User interface and video acquisition support.

Figure 4. The gray image after color conversion.Demos: OpenCV demos include face detection/recognition, camera calibration, condensation tracker, mean-shift/CAMSHIFT tracking, optical flow, Kalman Filter, view morphing, stereo correspondence and 3D tracking.

Sample Code: A directory of functioning sample code covers Delaunay triangulation, pyramid color segmentation, image morphology, k-means, ellipse fitting, histogram intersection, distance transform and more. More information on OpenCV is available online at www.intel.com/research/mrl/research/opencv.

What is Ch OpenCV?
Ch OpenCV, the binding of Ch to OpenCV, is included in the distribution of OpenCV. With Ch OpenCV, C (or C++) programs using OpenCV C functions can readily run in Ch interactively without compilation. Both Ch Standard/Professional/Student Edition and OpenCV run-time library are needed to run Ch OpenCV.

Contents of the Ch OpenCV Package:
(1) OpenCV - Ch OpenCV
OpenCV/demos-OpenCV demo in C, ready to run in Ch

OpenCV/bin-OpenCV dynamical library and commands
OpenCV/dl-dynamically loaded library
OpenCV/include-header files
OpenCV/lib-function files
(2) Devel - Files and utilities used to build Ch OpenCV
using native C compiler and Ch SDK
Devel/c-_chdl.c C wrappers and makefiles
Devel/createchf-bare OpenCV headers
Where to get Ch and Setup Ch OpenCV

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