MITMAS_531F09_lec06

MITMAS_531F09_lec06 - MIT Media Lab MIT Media Lab Camera...

Info iconThis preview shows pages 1–5. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: MIT Media Lab MIT Media Lab Camera Culture Camera Culture Ramesh Raskar Ramesh Raskar MIT Media Lab MIT Media Lab http://cameraculture.media.mit.edu/ Computational Camera & Photography: Computational Camera & Computational Camera & Photography: Photography: 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 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 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 – 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 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...
View Full Document

This note was uploaded on 02/07/2012 for the course MAS. 131 taught by Professor Rameshraskar during the Fall '09 term at MIT.

Page1 / 64

MITMAS_531F09_lec06 - MIT Media Lab MIT Media Lab Camera...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online