Spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity
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-ste...
| Main Authors: | , , , |
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| Format: | Journal Article |
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2015
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| Online Access: | https://hdl.handle.net/10356/107170 http://hdl.handle.net/10220/25335 |
| _version_ | 1826129009126146048 |
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| author | Seah, Hock Soon Lin, Feng Tandianus, Budianto Johan, Henry |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Seah, Hock Soon Lin, Feng Tandianus, Budianto Johan, Henry |
| author_sort | Seah, Hock Soon |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T07:33:51Z |
| format | Journal Article |
| id | ntu-10356/107170 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T07:33:51Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/1071702020-05-28T07:19:14Z Spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity Seah, Hock Soon Lin, Feng Tandianus, Budianto Johan, Henry School of Computer Engineering DRNTU::Engineering::Computer science and engineering 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. Accepted version 2015-04-08T02:04:11Z 2019-12-06T22:25:59Z 2015-04-08T02:04:11Z 2019-12-06T22:25:59Z 2014 2014 Journal Article 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. https://hdl.handle.net/10356/107170 http://hdl.handle.net/10220/25335 10.1007/s00371-014-1037-z 184420 The visual computer © 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]. 14 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Seah, Hock Soon Lin, Feng Tandianus, Budianto Johan, Henry Spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity |
| title | Spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity |
| title_full | Spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity |
| title_fullStr | Spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity |
| title_full_unstemmed | Spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity |
| title_short | Spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity |
| title_sort | spectral caustic rendering of a homogeneous caustic object based on wavelength clustering and eye sensitivity |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/107170 http://hdl.handle.net/10220/25335 |
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