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Computer Vision for Visual Effects (gnv64)

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Description

Computer
Vision for Visual Effects 
by Richard J. Radke
Cambridge University Press | November 2012 | ISBN-10:
0521766877 | PDF | 405 pages | 18.2 mb
http://www.amazon.com/Computer-Vision-Visual-Effects-Richard/dp/0521766877

Modern blockbuster movies
seamlessly introduce impossible characters and action into real-world settings using digital visual effects. These
effects are made possible by research from the field of computer vision, the study of how to automatically understand
images. 
Computer Vision for Visual Effects will educate students, engineers, and researchers about the fundamental
computer vision principles and state-of-the-art algorithms used to create cutting-edge visual effects for movies and
television. The author describes classical computer vision algorithms used on a regular basis in Hollywood (such as blue
screen matting, structure from motion, optical flow, and feature tracking) and exciting recent developments that form
the basis for future effects (such as natural image matting, multi-image compositing, image retargeting, and view
synthesis). He also discusses the technologies behind motion capture and three-dimensional data acquisition. More than
200 original images demonstrating principles, algorithms, and results, along with in-depth interviews with Hollywood
visual effects artists, tie the mathematical concepts to real-world filmmaking.

About the Author

He is an Associate Professor in the ECSE (Electrical, Computer, and Systems
Engineering) department at Rensselaer Polytechnic Institute (RPI), where his students he researches topics in computer
vision, the study of algorithms for automatically understanding images. After many years of teaching image processing
courses, he became particularly interested in the computer vision algorithms behind Hollywood visual effects (VFX),
which are the topic of his first book. While writing the book, he was able to visit several VFX companies in California
and see lots of behind-the-scenes material from movies and TV- a change from the typical professor lifestyle! 
His
blog, cvfxbook.com, and his professional page, http://www.ecse.rpi.edu/~rjradke/research.htm.

Contents
1
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
2 Image Matting . . . . . . . . . . . . . . .
. . . . . . . . . . . 9
3 Image Compositing and Editing . . . . . . . . . . . . . . . 55
4 Features and
Matching . . . . . . . . . . . . . . . . . . . . . 107
5 Dense Correspondence and Its Applications . . . . . . .
148
6 Matchmoving . . . . . . . . . . . . . . . . . . . . . . . . . . . 207
7 Motion Capture . . . . . . . . .
. . . . . . . . . . . . . . . . 255
8 Three-Dimensional Data Acquisition . . . . . . . . . . . . 300
A
Optimization Algorithms for Computer Vision . . . . . . 353
B Figure Acknowledgments . . . . . . . . . . . . . . .
. . . . 364
Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367
Index . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . 393

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