CS 6280 - Computer Vision

Credits: (3)
Typically Taught Fall Semester: Full Sem
Description: This course introduces the fundamental concepts and algorithms in computer vision, blending classical methods with modern deep learning approaches. Topics include image processing, feature detection, object recognition, tracking, multi-view geometry, 3D reconstruction, classification, object detection, segmentation, video analysis, and selective coverage of advanced related topics such as vision transformers, representation learning and/or Simultaneous Localization and Mapping (SLAM).