Evaluation of Methods of Stereo Image Processing

This thesis addresses the correlation between two pictures and its application to a real example using a camera which is a part of a stereo camera. It suggests how to use correlation to find specific patterns in pictures whereas it is possible to calculate the movement between two scaled pictures which is done by resampling. The accuracy of correlation is then shown when pictures are compensated using affine transformation in order to verify the accuracy of correlation. To further increase the correlation accuracy, it is possible to use a corner detector, it finds main points in a shot and then it searches for a match in another shot using correlation. Final results using this method are also mentioned in this thesis