COL780: Computer Vision
First Semester 2020-21
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Overview |
Recent advances in algorithmic techniques, computation and memory technologies have reinvigorated interest in artificial intelligence (AI). Many of the successes in AI in last few years have come from its sub-area computer vision which deals with understanding, and extracting information from digital images and videos. This course provides an introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, multiview geometry including stereo, motion estimation and tracking, and some machine learning problems such as image classification, object detection, and image segmentation. We focus less on the machine learning aspect of computer vision in this course, which will be really done in Advanced Computer Vision course (next semester). This course will be a pre-requisite for the advanced course.
The course will be conducted online during this semester. More details can be found at the following link: Microsoft Teams |
Course Content |
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Course Policies |
Prerequisites
Marks Distribution
How to Fail in the Course
Other Policies
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