Introduction to Visual Effects
A Computational Approach
Samenvatting
Key features include:
Introduction to Projective Geometry, Image Based Lighting (IBL), Global Illumination solved by the Monte Carlo Method (Pathtracing), an explanation of a set of Optimization Methods, and the techniques used for Calibrating One, Two, and Many cameras, including how to use the RANSAC algorithm in order to make the process robust, and providing code to be implemented using the Gnu Scientific Library.
C/C++ code using the OpenCV library, to be used in the process of tracking points on a movie (an important step for the matchmove process), and in the construction of Modeling Tools for Visual Effects.
A simple model of the Bidirectional Reflectance Distribution Function (BRDF) of surfaces and the Differential Rendering Method, allowing the reader to generate consistent shadows, supported by a code that can be used in combination with a software like Luminance HDR.
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