Extended Photon Map Implementation
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چکیده
منابع مشابه
Rendering with Photon Maps
The presentation of a recent addition to the suite of popular global illumination rendering methods is the focus of this thesis. The photon map comprises a particle transport simulation with a density estimate characterized by independency of the scene geometry and the ability to efficiently model diffuse global illumination and caustics. Its embedding in existing ray tracing environments is st...
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This paper presents a two pass global illumination method based on the concept of photon maps. It represents a significant improvement of a previously described approach both with respect to speed, accuracy and versatility. In the first pass two photon maps are created by emitting packets of energy (photons) from the light sources and storing these as they hit surfaces within the scene. We use ...
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In this paper, we introduce Pixel Cache Light Tracing, which is a new low-noise combination of eye-path and light-path tracing. In the first pass, eye-path vertices are distributed from the observer and stored in a hit point map analogous to progressive photon mapping. In the second pass, photons are traced from the light source and projected to the image as well as gathered by the hit point ma...
متن کاملA Practical Guide to Global Illumination using Photon Mapping
This course serves as a practical guide to photon maps. Any reader who can implement a ray tracer should be able to add an efficient implementation of photon maps to his or her ray tracer after attending this course and reading the course notes. There are many reasons to augment a ray tracer with photon maps. Photon maps makes it possible to efficiently compute global illumination including cau...
متن کاملMonte Carlo simulation of photon migration in a cloud computing environment with MapReduce.
Monte Carlo simulation is considered the most reliable method for modeling photon migration in heterogeneous media. However, its widespread use is hindered by the high computational cost. The purpose of this work is to report on our implementation of a simple MapReduce method for performing fault-tolerant Monte Carlo computations in a massively-parallel cloud computing environment. We ported th...
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تاریخ انتشار 2005