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CS 290I / MAT 235
Prof. Matthew Turk (contact info)
Office hours: Wednesday 9:00-11:00am or by appointment, or drop by and see if I'm available (Frank Hall 2163)
Office hours: Tuesdays 10am-noon, Phelps 1413, and by appointment
Meeting Times and Location
Tues/Thurs 1:00-2:45pm in HFH 1132
Course mailing list: https://lists.cs.ucsb.edu/mailman/listinfo/imaging
- The final grades have been submitted. Grades and brief comments on the project can be found at the grades page. I enjoyed hearing about the projects, both the presentations and the reports. Thanks for an interesting class!
- Please attend this talk (MAT seminar) by ECE professor Pradeep Sen on Monday, February 3rd at 5:30pm in ESB 2001.
- The iOS development session will be held on Monday, January 27 at 5:00pm in (location TBD).
- A new transparent display technology being developed at MIT
- Emily's notes on iOS and Android app development
- Iris scanning in the next Samsung and Apple phones?
- Article on What's next for smartphone cameras in 2014
- New MIT Technology Review article: App turns smartphone into virtual cane for the blind
- The schedule has been updated for the coming week - topics, reading, and assignment #1.
- Remember the login and password of the lectures folder (accessible from the Schedule page) - what's the name of the course?
- The meeting time and location of the course have been changed - the class will meet on Tuesdays and Thursdays from 1:00 to 2:45pm (probably usually until 2:30pm) in HFH 1132 (the CS conference room).
- Brief course description:
Mobile imaging is becoming increasingly important in computer- and communication-related fields, especially in consumer-focused applications. As computational power and bandwidth increase, more and more use is being made of images, video, and 3D in all sorts of mobile applications and environments. This course is about digital images (and video) on mobile devices: how they are created, stored, compressed, transmitted, displayed, processed, and used in various applications in the context of mobile computing, including leveraging the other sensors and capabilities of a mobile device. Topics will include applications in computational photography, telecollaboration, and human-computer interaction. Students will work on projects involving image-based applications on mobile devices.