SUNY Korea Computing Society
CSE 327 - Fundamentals of Computer Vision
CSE 327 - Fundamentals of Computer Vision
Introduces fundamental concepts, algorithms, and techniques in visual information processing. Covers image formation, binary image processing, image features, model fitting, optics, illumination, texture, motion, segmentation, and object recognition.
| Details | Description |
|---|---|
| Credits | 3 |
| Prerequisites | CSE 214 or CSE 230 or CSE 260; AMS 210 or MAT 211; CSE or ISE major |
| Coordinator | Jihoon Ryoo |
Course Outcomes
Working knowledge of fundamental concepts and computational techniques in visual information processing. An ability to design algorithms for understanding images and video, such as segmentation, edge detection, and reflectance analysis.
Course Topics
| Topic | Materials |
|---|---|
| No topics added |
Textbooks
Computer Vision: Algorithms & Applications by Richard Szeliski; Springer (ISBN # 978-1848829343)
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