Upon successful completion of EE 417 Computer Vision, students are expected to be able to:
- Discuss the main problems of computer vision, its uses and applications
- Design and implement various image transforms: point-wise transforms, neighborhood operation-based spatial filters, and geometric transforms over images
- Design and implement several feature extraction algorithms including edges and corners
- Design and implement line and circle detection using Hough transform
- Calibrate real cameras and determine both intrinsic and extrinsic parameters,
- Formulate and solve 2D optic flow problem
- Establish correct correspondence for stereo images using a correlation based matching technique
- Estimate the essential/fundamental matrix and determine extrinsic parameters (rotation and translation) of a stereo vision system
- Reconstruct 3D structure from 2D images using estimated extrinsic parameters
- Identify or recognize objects from images
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