Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107170
Title: Spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity
Authors: Seah, Hock Soon
Lin, Feng
Tandianus, Budianto
Johan, Henry
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Source: Tandianus, B., Johan, H., Seah, H. S., & Feng, L. (2014). Spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity. The visual computer, 31(12), 1601–1614.
Series/Report no.: The visual computer
Abstract: In the real world, the index of refraction of a refractive object (caustic object) varies across the wavelengths. Therefore, in physically based caustic rendering, we need to take into account spectral information. However, this may lead to prohibitive running time. In response, we propose a two-step acceleration scheme for spectral caustic rendering. Our acceleration scheme takes into account information across visible wavelengths of the scene, that is, the index of refraction (IOR) (caustic object), light power (light), and material reflectance (surface). To process visible wavelengths effectively, firstly we cluster the wavelengths which have similar first refraction (air to caustic object) directions. In this way, all the wavelengths in a cluster can be represented by one light ray during rendering. Secondly, by considering the surrounding objects (their material reflectance from and visible surface area of the caustic objects) and light power, we compute the refinement amount of each wavelength cluster. Our accelerated algorithm can produce photorealistic rendering results close to their reference images (which are generated by rendering every 1 nm of visible wavelengths) with a significant acceleration magnitude. Computational experiment results and comparative analyses are reported in the paper.
URI: https://hdl.handle.net/10356/107170
http://hdl.handle.net/10220/25335
DOI: 10.1007/s00371-014-1037-z
Rights: © 2014 Springer-Verlag Berlin Heidelberg. This is the author created version of a work that has been peer reviewed and accepted for publication by The Visual Computer, Springer-Verlag Berlin Heidelberg. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [Article DOI: http://dx.doi.org/10.1007/s00371-014-1037-z].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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