CVPR 2001 Short Course

 

Open Source Computer Vision Library: Overview, Optimization, Algorithms and Hands-on Use.

 

Instructor: Gary R Bradski, Victor Eruhimov, and Vadim Pisarevsky (Intel Corporation)

 

ABSTRACT

 

The Open Source Computer Vision Library (OpenCV) is an open source, free for research AND commercial use, computer vision library that is maintained by Intel and assembly language optimized across Intel’s processor line.  It may be downloaded from http://www.intel.com/research/mrl/research/cvlib. An active community of nearly 3000 users may be joined by sending email to OpenCV-Subscribe@egroups.com.

 

This course will start with an overview of the contents of the library, followed by a detailed tutorial on the use of OpenCV algorithms: Kalman Filter, HMM, and Optical Flow.  We will then demonstrate various interfaces to OpenCV, including COM objects/DirectX, a C scripting environment, and Matlab.  The course will end with an optional section where programming experts will assist people who have brought laptops on a hands-on programming assignment of the user’s choice.

 

Duration: 4 hours

 

COURSE OUTLINE

 

0:00-0:15:

1) Welcome:

a) Sign in

b) Users get CD set containing:

i)   All Intel Performance Libraries,

ii)  OpenCV,

iii) Documentation and tutorials on programming with Intel chips, and

iv)  Limited Version Intel’s profiling code VTune

 

0:15-1:00:

2) OpenCV Contents Overview (slide + AVI presentation).

 

1:00-1:15:

3) Break

 

1:15-2:45:

4) Programming and Algorithms examples using OpenCV

a) Kalman filter, HMM, Optical Flow

b) COM/DirectX, C scripts, New Matlab interface

 

2:45-3:00:

5) Break

 

3:00-4:00:

6) Optional session for users who bring their own laptops

a) Choose a programming assignment

b) Experts will be on hand to:

i)  Install and get OpenCV working on WinOS or Linux

ii) Give one-on-one help for any problems or questions arising while completing assignment.

 

 

CONTACT INFORMATION

 

Gary R. Bradski

Intel Corporation

Mgr. Vision, Graphics and Pattern Recognition Group

Microprocessor Research Lab

SC12-303

2200 Mission College Blvd.

Santa Clara, CA 95052-8119, USA

Voice: 408-765-8906

Fax:   408-653-8511

Email: gary.bradski@intel.com

 

 

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