Computer Vision and Pattern Recognition Low-level and high-level vision including edge detection, connected component labeling, boundary detection, segmentation, stereopsis, motion analysis, and object recognition. Knowledge representation, knowledge retrieval and reasoning techniques in computer vision. Parallel computing, parallel architectures and neural computing for computer vision. Not offered on a regular basis. Credit Hours: 4 Prerequisites: CSCI 4810/6810 or Permission of Department Level: Graduate
