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Staff |
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Prof:
Steve Seitz (seitz@cs ) |
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TAs:
David Dewey (ddewey@cs), Jiwon Kim (jwkim@cs) |
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Web Page |
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http://www.cs.washington.edu/education/courses/cse455/03wi/ |
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Handouts |
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course info |
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signup sheet |
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Overview of Computer Vision |
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Overview of Course |
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Image Filtering |
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Readings for this week |
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Forsyth & Ponce, chapters 8.1-8.2 |
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http://www.cs.washington.edu/education/courses/490cv/02wi/readings/book-7-revised-a-indx.pdf |
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Intelligent Scissors |
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http://www.cs.washington.edu/education/courses/490cv/02wi/readings/book-7-revised-a-indx.pdf |
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Goal of computer vision is to write computer
programs that can interpret images |
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Not yet |
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computer vision is still no match for human
perception |
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but catching up, particularly in certain areas |
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Low level operations |
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Image enhancement, feature detection, region
segmentation |
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Mid level operations |
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3D shape reconstruction, motion estimation |
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High level operations |
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Recognition of people, places, events |
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http://www.cs.washington.edu/education/courses/455/02wi/projects/project2/artifacts/cdtwigg/marygates.html |
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http://www.cs.washington.edu/education/courses/cse455/03wi/ |
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Programming Projects (70%) |
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image scissors |
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panoramas |
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single view modeling |
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face recognition |
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Midterm (15%) |
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Final (15%) |
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Prerequisites—these are essential! |
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Data structures (CSE 326) |
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A good working knowledge of C and C++
programming |
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Linear algebra |
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Vector calculus |
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Course does not assume prior imaging experience |
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computer vision, image processing, graphics,
etc. |
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Emphasis on programming projects! |
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Notes
