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.
Sprache
Verlagsort
Zielgruppe
Illustrationen
170 b/w illus. 50 colour illus. 2 tables 168 exercises
ISBN-13
978-1-139-01968-2 (9781139019682)
Schweitzer Klassifikation
Autor*in
Rensselaer Polytechnic Institute, New York
Richard J. Radke is an Associate Professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute. His current research interests include computer vision problems 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 Explosives 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. Radke is a senior member of the IEEE and has published numerous research papers in IEEE journals and conferences.
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.
