Online Free Learning Resources

 Virtual Lab

• An Initiative of Ministry of Human Resource Development (MHRD), Goverment of India, under the National Mission on Education through Information Communication Technology.
• Content Contributing Universities : IIT Delh, IIT Kanpur, IIT Kharagpur, IIT Madras, IIT Roorkee, IIT Guwahati, IIIT hyderabad, Amrita University, NIT Karnataka, College of Engineering, Pune, Dayalbagh University, Agra.
• COMMENT : I tried for thresholding operation. It worked ok. User interface is not very intuitive. So patient and try to learn it.
• Website address : http://deploy.virtual-labs.ac.in/labs/cse19/index.php
• For other subjects visit http://vlab.co.in/

MIT open course ware

Course Description

General Introduction - Estimating Image Motion Field - Pinhole Camera Model - Lambertian Surfaces - Image Motion in 2D -Constant Brightness Equation - Binocular Stereo - Reflectance map: Image Formation, Surface Reflectance, Surface Orientation -Photometric Stereo -Brightness Distribution Function (BRDF) - Shape from Shading -Shape from Gradient - Binary Image Processing -Methods and Applications - The Euler Equations and their Applications - Optical Flow - Motion Vision - Direct Motion Vision - Extended Gaussian Images -Tessellation - Platonic solids - Quaternions - Operations on EGIs - Photogrammetry -Absolute Orientation - Exterior Orientation - Interior Orientation -Relative Orientation

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-801-machine-vision-fall-2004/lecture-notes/

                 University of Berkeley Computer Vision course
Instructor

Jitendra Malik is Arthur J. Chick Professor of Electrical Engineering and Computer Science at UC Berkeley, where he has been on the faculty since 1986. He is also on the faculty of the department of Bioengineering, and in the Cognitive Science and Vision Science groups.Professor Malik is Alumnus of IIT Kanpur. He received his PhD degree from Stanford University in 1985. He is a Fellow of the ACM and IEEE, and a member of the National Academy of Engineering. He has more than 150 research papers and 30 PhD dissertations. He he is one of ISI's Highly Cited Researchers in Engineering.

Computer Vision in simple terms
Computer vision seeks to develop algorithms that replicate capabilities of the human brain - to infer information from the light that fell on the eyes.

• We can determine distance of the object, object's orientation, relationship with other objects, object's color and texture.
• We can recognize the object whether it is a chair dog or picture of Dr. Manmohan Singh.
• We can segment out regions of space corresponding to particular objects and track them over time, such as a cricket fielder chasing a ball.

About the course

In this course face detection, handwritten digit recognition, reconstructing three-dimensional models of cities, automated monitoring of activities, segmenting out organs or tissues in biological images, and sensing for control of robots. They discuss image formation, core image processing operations, and statistical machine learning.

About joining

The classes will start from March 2012. It is free. University of Berkeley will not give any certificate or credit for taking this course. It can be listened at your leisure by downloading the video that will run few minutes. Please register and use the oppurtunity.
  http://www.vision-class.org/