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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

8:40 Understanding the Camera

Tumblin

9:10 Image Processing and Reconstruction Tools

Raskar

9:40 Improving Performance

Tumblin

10:10 Questions & Answers
10:15 Break
10:30 Image Processing and Reconstruction Techniques

Raskar

11:15 Computational Imaging Beyond Photography

Tumblin

11:35 Future Smart and Unconventional Cameras

Raskar and Tumblin

12:05 Summary and Discussion

Raskar and Tumblin

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