MITMAS_531F09_lec06

MITMAS_531F09_lec06 - MIT Media Lab Computational Camera...

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Camera Culture Camera Culture Ramesh Raskar Ramesh Raskar MIT Media Lab MIT Media Lab http://cameraculture.media.mit.edu/ Camera & Computational Camera & Computational Camera & Photography: Photography:
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Schedule Assignment #3, Oct 16 th to Oct 30 Assignment #4, Oct 30 to Nov 13th Mid-term exam: Nov 13th (fast review Nov 6 th ), open book, open laptop Final Project – Credit 30% Novelty, coolness (+execution), impact (+evaluation) (roughly 1/3 each) Pre-proposals: Oct 30th NOW: Try to meet I, Ankit or other mentors with at least 3 ideas If you are listener, pitch your ideas today, recruit students Pre-proposal: (send by email for your main one or two ideas) Motivation, Goal, Novelty and Prior Art, Approach, References 3 minute presentation on Nov 6 th Final Proposals: Nov 20 th Initial experiments Presentation: Dec 4 th (End of Semester) Conference quality technical paper report Schedule Assignment #3, Oct 16 to Oct 30 Assignment #4, Oct 30 to Nov 13th Mid-term exam: Nov 13th (fast review Nov 6 th ), open book, open laptop Final Project – Credit 30% (+evaluation) (roughly 1/3 each) Pre-proposals: Oct 30th NOW: Try to meet I, Ankit or other mentors with at least 3 ideas If you are listener, pitch your ideas today, recruit students Motivation, Goal, Novelty and Prior Art, Approach, References 3 minute presentation on Nov 6 Final Proposals: Nov 20 th (End of Semester) Conference quality technical paper report
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Cameras for HCI Camera looking at people Face detection/recognition People tracking, segmentation Camera looking at fingers – FTIR Optical mouse Anoto Pen Multi-flash Complexity of Optical Transmission Motion capture 2D, 1D, 0D Motion detector – Wii Cameras for HCI Camera looking at people People tracking, segmentation Camera looking at fingers – FTIR Optical mouse Anoto Pen Multi-flash Complexity of Optical Transmission Motion capture 2D, 1D, 0D – Wii
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Boring Camera HCI Projects Locate/Track/Segment But fails under lighting, skin-color , clothing, background change Track LED from one/two webcams – Triangulate Segment finger or face Background segmentation Put on a glove/hat for better segmentation Artistic interactive display Human figure segmentation Proximity/blob size Motion (hand waving etc) You can impress some of the people all of the time, and all of the people some of the time, but not all of the people all of the time Solution: Use smarter sensors, processing to create magic Boring Camera HCI Projects Locate/Track/Segment But fails under lighting, skin-color , clothing, background change Track LED from one/two webcams – Triangulate Segment finger or face Background segmentation Put on a glove/hat for better segmentation Artistic interactive display Human figure segmentation Proximity/blob size You can impress
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