Computer Vision for Visual Effects

This book explores the fundamental computer vision principles and state-of-the-art algorithms used to create cutting-edge visual effects for movies and television.

Richard J. Radke (Author)

9780521766876, Cambridge University Press

Hardback, published 19 November 2012

405 pages, 170 b/w illus. 50 colour illus. 2 tables 168 exercises
26.1 x 18 x 2.6 cm, 0.97 kg

"The visual effects industry relies intimately on highly sophisticated computer vision algorithms and also provides one of the primary application areas for such algorithms. Richard Radke's comprehensive textbook on these subjects reviews hundreds of such algorithms with applications to topics such as image matting and compositing, feature tracking and matchmoving, motion capture, and 3D model acquisition. It will surely find a prominent place on both visual effect practitioners' and computer vision researchers' bookshelves."
Richard Szeliski, Microsoft Research

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.

1. Introduction
2. Image matting
3. Image compositing and editing
4. Features and matching
5. Dense correspondence and its applications
6. Matchmoving
7. Motion capture
8. Three-dimensional data acquisition
Appendix: optimization algorithms for computer vision.

Subject Areas: Image processing [UYT], Computer vision [UYQV], 3D graphics & modelling [UGK], Cinema industry [KNTC]