1. Students are able to apply techniques for feature extraction and representation, tracking, segmentation, object detection and recognition. |
2. Students are able to apply ideas from single and multi-view geometry in applications requiring depth/3D estimation. |
3. Student are able to Look up relevant literature and identify potential solutions for a given computer vision problem and implement them using existing tools/libraries (Matlab/OpenCV). |
4. Students are able to evaluate and compare quantitative performance of vision algorithms by using appropriate metrics. |