Advanced global illumination
By P. Dutré, Philippe Bekaert, Kavita Bala. 2006
395 citations recorded by the source corpus.
This book provides a fundamental understanding of global illumination algorithms. It discusses a broad class of algorithms for realistic image synthesis and introduces a theoretical basis for the algorithms presented. Topics include: physics of light transport, Monte Carlo methods, general strategies for solving the rendering equation, stochastic path-tracing algorithms such as ray tracing and light tracing, stochastic radiosity including photon density estimation and hierarchical Monte Carlo radiosity, hybrid algorithms, metropolis light transport, irradiance caching, photon mapping and instant radiosity, beyond the rendering equation, image display and human perception. If you want to design and implement a global illumination rendering system or need to use and modify an existing system for your specific purpose, this book will give you the tools and the understanding to do so.
Subfields: Atomic and Molecular Physics, and Optics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/bf03c61f0839b54c51d4e66bc0b030a5dca51d7a
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In Computer Graphics and Computer-Aided Design
- Christopher E. Peters
- Sara de Freitas
- Fotis Liarokapis
- Panagiotis Petridis
- In-So Kweon
- Eike Falk Anderson
- Leigh McLoughlin
In Computer Vision and Pattern Recognition
- Christopher E. Peters
- Sara de Freitas
- Fotis Liarokapis
- Panagiotis Petridis
- Gyeongmin Choe
- In-So Kweon
- Eike Falk Anderson
- Byungtae Ahn
Citations in the corpus
- Deep representation of industrial components using simulated images (2017, methodology): “…on the assumption that ideal models of mechanical components are available in most production and verification work flows, we have randomly collected 88 components from a wide variety of application domains, and applied the Monte Carlo ray tracing technique for light transport simulation [14], [15].”
- Developing serious games for cultural heritage: a state-of-the-art review (2010, background): “interdependence can be costly to compute, especially for dynamic scenes, and although indirect lighting accounts for a high proportion of real world illumination, the computational cost of simulating its effects has resulted in very limited use within real-time applications (Dutr et al. 2003).”
- Crowdsourcing in Computer Vision (2016, neutral): “[30] provide good overviews of computation methods for indirect illumination.”