Introduction to Visual Effects: A Computational Approach is the
first single introduction to the computational and mathematical aspects
of visual effects, incorporating both computer vision and graphics. The
book also provides the readers with the source code to a library,
enabling them to follow the chapters directly and build up a complete
visual effects platform. The book covers the basic approaches to camera
pose estimation, global illumination, and image-based lighting, and
includes chapters on the virtual camera, optimization and computer
vision, path tracing and many more.
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.
