Ch OpenCV Package is Ch binding to
Intel's Open Source Compuer Vision (OpenCV) C library.
Ch OpenCV is jointly developed by Intel and SoftIntegration
as a default interface to OpenCV binary library and included
as open source in the distribution of OpenCV.
"I am very pleased with the OpenCV capability of Ch, among many other aspects!
Ch has potential well beyond environments such as Matlab for concept testing, modeling, and simulation with the added benefit of the 'resultant code' being more easily integrated into the ultimate target application in a seamless manner. For our purposes this translates into high productivity and qualifies as rapid application development (RAD), not to mention 'Rapid Education Assimilation' (REA) when endeavoring to learn the nuances of new functions."
-- Dean Vieau, Magna Donnelly Inc.
"I have Ch for developing camera calibration software using the
OpenCV library. It is very useful for prototyping.
For speed purposes, I can compile the same code using Borland's free
compiler before running."
-- Kristian Kirk
"I am a software engineer in Big Brat Ltd., a company making
video surveillance solutions.
As a computer vision based algorithms researcher, I have found Ch
OpenCV Package very useful. It saves me a lot of time when I'm working
on such areas as face or number plate recognition!
It lets me to fast prototype algorithms with the same code which
will be used in a final product."
--- Konrad Kokosa
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OpenCV was originally
developed by Intel to
provide a free and open infrastructure
where the distributed efforts of the vision community can be consolidated and
performance optimized.
This open source library is mainly aimed at real-time computer vision.
OpenCV can be used for
human-computer interaction (HCI);
object identification, segmentation and
recognition; face recognition; gesture recognition;
motion tracking, ego motion,
motion understanding; structure from motion (SFM);
monitoring; biometrics;
and mobile robotics.
With Ch OpenCV package,
all C programs using OpenCV library can readily run
without tedious compiling and linking cycles.
OpenCV applications can take advantage of
built-in 2D/3D graphical plotting and advanced numerical functions in Ch.
More complex applications can be designed and deployed
together with other software modules such
as Ch OpenGL, Ch GTK, Ch Windows, and Ch X/Motif Toolkits.
Moreover, real-time computer vision can be easily accomplished remotely
and displayed through the Web dynamically with Ch CGI Toolkit.
Ch OpenCV package can be used to increase
efficiencies for rapid application development
and
open architecture integration of computer vision systems.
It can especially shorten the time to develop solutions with
real-time computer vision for
engineers and students without
extensive VC++ programming experience.
It is ideal for teaching and learning computer vision.