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Computational Photography


Provider
coursera

Price
Free

School
Georgia Institute of Technology

Type
University

Instructor
Irfan Essa

Categories
Computer Science, Technology

Duration
5 weeks

Format
Video

Language
English

Description
The goal of this course is to introduce you to the basics of how computation has impacted the entire workflow of photography (i.e., from how images are captured, manipulated and collaborated on, and shared).   The course begins with a conceptualization of photography as drawing with light and the capturing of light to form images/videos.  You will learn about and understand how the optics and the sensor within a camera are generalized, as well as learn about and understand how the lighting and other aspects of the environment are also generalized through computation to capture novel images.  Pre- and post-processing techniques used to manipulate and improve images will be discussed.  Activities in this course are selected to give you first hand experience with the power of the web and the Internet for both analyzing and sharing images.   This course is interdisciplinary and draws upon concepts and principles from computer vision, computer graphics, image processing, mathematics and optics. We look forward to your engagement and participation with both the course and its discussion forums. About the TA Denis Lantsman is the TA for the class. Denis is a graduate of Harvey Mudd College, and is currently finishing his MS in Machine Learning at Georgia Tech. He is responsible for managing the coursera site, monitoring the forums for student feedback, creating the homework assignments and quizzes, as well as recording weekly tutorials to help students with their programming.