In this course, students will understand image formation, representation, and processing
and learn traditional techniques and deep learning based methods to handle various computer vision related problems.
General processing methods such as feature extraction from 2D or 3D images and 3D reconstruction problems will also be covered.
Students will learn how to solve representative computer vision problems through a number of programming projects.
a. Rotate an image by 45 degrees with forward method
b. Rotate an image by 45 degrees with backward method
c. Compare nearest neighbor interpolation with bilinear interpolation method.
Try to improve edge detection performance of provided program. Canny edge detection & Harris corner detector
Use SURF method