Computer Vision for Visual Effects / by Richard J. Radke. [Electronic Resource]
Material type: Computer filePublication details: Cambridge : Cambridge University Press, 2012Description: x, 398pISBN:- 9781139019682
- 621.399 3Â R116C
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 621.399 3 R116C (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : Cambridge Core | EB0391 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
621.395 L74A Analog VLSI : Circuits and Principles | 621.395 M312D Digital Design | 621.39732 B176C CMOS : Circuit Design, Layout, and Simulation | 621.399 3 R116C Computer Vision for Visual Effects | 621.3994 Al1V Video Coding for Mobile Communications : Efficiency, Complexity, and Resilience | 621.402 1 L969C Computational Thermodynamics : The Calphad Method | 621.402 207 8 G766E Experiments in Heat Transfer and Thermodynamics |
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.
There are no comments on this title.