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Computational photography combines plentiful computing, digital sensors, modern optics, actuators, probes, and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. This book provides a practical guide to topics in image capture and manipulation methods for generating compelling pictures for graphics, special effects, scene comprehension, and art. The computational techniques discussed cover topics in exploiting new ideas in manipulating optics, illumination, and sensors at time of capture. In addition, the authors describe sophisticated reconstruction procedures from direct and indirect pixel measurements that go well beyond the traditional digital darkroom experience.
Ramesh Raskar is head of the Camera Culture research group and an Associate Professor of Media Arts and Sciences¨both at MIT Media Lab. Raskar received his Ph.D. in Computer Science from University of North Carolina at Chapel Hill.His doctoral research at UNC Chapel Hill lead to his collaboration with Mitsubishi Electronic Research Labs (MERL) where he was Senior Research Scientist.Raskar has received three Mitsubishi Electric Invention Awards and holds 30 U.S. patents. In 2003 he received the Global Indus Technovator Award, instituted at MIT that recognizes the top 20 Indian technology innovators worldwide. In 2004 he received Technology Review's TR100- recognizing the top one-hundred innovators under the age of 35.Jack Tumblin joined the Department of Computer Science at Northwestern University as an Assistant Professor in September 2001, after two years as a postdoctoral Associate at the Program of Computer Graphics at Cornell University.He received his Ph.D. in Computer Science in December, 1999 from the Georgia Institute of Technology. Tumblin has been an Associate Editor of ACM Transactions on Graphics (2001-2006), a member of the SIGGRAPH Papers Committee (2003-2004), and a Guest Editor of IEEE Computer Graphics and Applications (2001).