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3. Computational Photography
Half-Day, Sunday, 31 July, 8:30 am - 12:15 pm
Room 502A
Level: Intermediate
Learn the latest computational methods in digital imaging that overcome the traditional limitations of a camera and enable novel imaging applications. The course provides a practical guide to topics in image capture, lighting, and manipulation methods for generating compelling pictures for computer graphics and for extracting scene properties for computer vision.
Prerequisites
A basic understanding of camera operation and image processing is required. Familiarity with concepts of linear systems, convolution, and machine vision is useful.
Intended Audience
Photographers, digital artists, image-processing programmers, and vision researchers who use or build applications for digital cameras or images.
Co-Organizers
Ramesh Raskar
Mitsubishi Electric Research Labs (MERL)
Jack Tumblin
Northwestern University
Schedule
| 8:30 |
Introduction
Raskar
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| 8:40 |
Understanding the Camera
Tumblin
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| 9:10 |
Image Processing and Reconstruction Tools
Raskar
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| 9:40 |
Improving Performance
Tumblin
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| 10:10 |
Questions & Answers
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| 10:15 |
Break
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| 10:30 |
Image Processing and Reconstruction Techniques
Raskar
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| 11:15 |
Computational Imaging Beyond Photography
Tumblin
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| 11:35 |
Future Smart and Unconventional Cameras
Raskar and Tumblin
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| 12:05 |
Summary and Discussion
Raskar and Tumblin
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