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.
Cambridge University Press; November 2012
- ISBN 9781139602914
- Read online, or download in secure PDF or secure EPUB format
- Title: Computer Vision for Visual Effects
- Author: Richard J. Radke
Imprint: Cambridge University Press
In The Press
"Hollywood's achievements in visual effects have been enabled not just by advances in computer graphics, but just as much by techniques from the neighboring field of computer vision. Vision techniques such as camera tracking, 3D reconstruction, and face and body motion capture contribute to most of the visual effects shots we see today. Rich Radke's book Computer Vision for Visual Effects begins with the basics and shows how math, geometry, image processing, and scene understanding comprise these tools that create the movies. Read it and you'll understand an important part of the magic that makes the films we love."
Paul Debevec, Scientific and Engineering Academy Award Winner for Lightstage Work