COMPUTER VISION FOR VISUAL EFFECTS
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.
Richard J. Radke is an Associate Professor in the Department of Elec-
trical, Computer, and Systems Engineering at Rensselaer Polytechnic
Institute. His current research interests include computer vision prob-
lems related to modeling 3D environments with visual and range
imagery, calibration and tracking problems in large camera networks,
and machine learning problems for radiotherapy applications. Radke
is affiliated with the NSF Engineering Research Center for Subsurface
Sensing and Imaging Systems; the DHS Center of Excellence on Explo-
sives Detection, Mitigation and Response (ALERT); and Rensselaer’s
Experimental Media and Performing Arts Center. He received an NSF
CAREER award in March 2003 and was a member of the 2007 DARPA
Computer Science Study Group. Dr. Radke is a senior member of the
IEEE and an associate editor of IEEE Transactions on Image Processing.
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