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INF 385T : Special Topics in Information Science: Computer Vision
Areas
Catalog Description
Computer vision is a field of artificial intelligence (AI) that enables computing systems to extract meaningful information from digital images, videos, and other visual inputs to make computable decisions. The camera captures digital photos and videos, and algorithms process and derive valuable information, which can help in making better decisions and recommendations. This course offers a comprehensive review of computer vision emphasizing its fundamental principles and their applicability in the real world, from fashion to deep face recognition.
Prerequisites
Graduate standing.
Instructor | Topic Title | Year | Semester | Syllabus |
---|---|---|---|---|
Shounak Roychowdhury | 2025 | Spring Term | ||
Shounak Roychowdhury | Computer Vision | 2024 | Spring Term | Syllabus |
Shounak Roychowdhury | Computer Vision | 2023 | Spring Term | Syllabus |
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