Deriving spectra from colors and rendering light interference

Sun, Yinlong; Fracchia, F. David; Calvert, Tom; Drew, Mark S.

doi:10.1109/38.773965

Cited by 54 publications

(32 citation statements)

References 11 publications

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“…Young first generalized the principle of interference (YOUNG, 1802) and later developed his celebrated two-slit experiment (YOUNG, 1807). There are also rendering developments focused on simulating interference effects (DIAS, 1991;GONDEK, 1994;SMITS and MEYER, 1994;SUN, 1999). Our work is not intended to simulate the interference phenomena, but to use these patterns to visualize values and obtain results similar to InSAR images.…”

Section: Interference and Insarmentioning

confidence: 99%

An Efficient System for Creating Synthetic InSAR Images from Simulations

Yuan

Liu

Yuen

et al. 2008

Pure appl. geophys.

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Abstract-In this work we visualize tsunami and earthquake simulation results with graphics hardware acceleration. The rapid improvement in the computational power of graphics hardware and its programmability has made general computation on Graphics Processing Units (GPUs) very compelling. We generate Synthetic InSAR images using GPUs. Interference phenomena have formed the underlying theory for Interferometric Synthetic Aperture Radar (InSAR) in unveiling dynamical Earth movements. In our approach light path differences are defined by the surface values to be visualized. These path differences then modulate the lighting intensity to generate the interference patterns. We can interactively visualize surface deformation patterns by leveraging the computational power of GPUs. Our visualization method is applied to simulations of rupture fault displacements during the tsunamogenic earthquake events, which are vital to understanding the subsequent wave propagation. We also integrate the visualization results into Google Earth virtual globe to provide the geological context of the visualized regions.

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Section: Interference and Insarmentioning

confidence: 99%

An Efficient System for Creating Synthetic InSAR Images from Simulations

Yuan

Liu

Yuen

et al. 2008

Pure appl. geophys.

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“…Unfortunately these methods all have difficulties in balancing the accuracy and efficiency. To overcome the drawbacks of the previous methods, Sun et al proposed a composite spectral model by decomposing all spectra into a smooth background and a list of spikes [15][4] [3]. They represented the smooth part with Fourier coefficients and a spike is specified by its location and height.…”

Section: Related Workmentioning

confidence: 99%

“…The same for the transmittance calculation. Finally we transform the spectral part of the intermediate image into RGB [15] and plus the previous RGB part. This will generate an RGB image for displaying on the screen.…”

Section: Rendering Pipelinementioning

confidence: 99%

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Rendering Optical Effects Based on Spectra Representation in Complex Scenes

Dong

2006

Advances in Computer Graphics

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Abstract. Rendering the structural color of natural objects or modern industrial products in the 3D environment is not possible with RGBbased graphics platforms and software and very time consuming, even with the most efficient spectra representation based methods previously proposed. Our framework allows computing full spectra light object interactions only when it is needed, i.e. for the part of the scene that requires simulating special spectra sensitive phenomena. Achieving the rendering of complex scenes with both the full spectra and RGB light and object interactions in a ray-tracer costs only some additional fractions of seconds. To prove the efficiency of our framework, we implemented a "Multilayer Film" in a simple ray-tracer. However, the framework is convenient for any complex lighting model, including diffraction or fluorescence.

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“…Opposed to the original Berns' method, the bandwidths of applied primaries vary with the colorimetric specifications of samples. 7 The performance of suggested modifications on the recovery of the reflectance spectra of different samples have been compared with the classical Berns' routine, Hawkyard's iterative method 8 and the wellknown principal component analysis technique. 9 …”

mentioning

confidence: 99%

Reconstruction of reflectance data by modification of Berns' Gaussian method

Attarchi

Amirshahi

2008

Color Research & Application

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Berns' method for the synthesis of spectral reflectance curve from the tristimulus color coordinates is modified. Firstly, the Gaussian bell shape red primary is replaced with a sigmoidal one to solve the dissimilarity between the spectral curves at the end region of spectrum. Secondly, three predetermined Gaussian primaries used in the original Berns' method are replaced by the adaptive ones which their half-height bandwidths vary with the tristimulus values of the desired color. The mentioned modifications are applied for the recovery of the reflectance curves of 1409 surface colors (including 1269 Munsell color chips and 140 samples of Colorchecker SG) and also 204 textile samples. Results of recovery are evaluated by the mean and the maximum color difference values under other standard light sources. The mean as well as the maximum of root mean squares between the reconstructed and the actual spectra are also calculated. The modifications are compared with the common principal component analysis (PCA) as well as Hawkyard's methods for recovery of reflectance factor. Although the PCA leads to the best results, the modifications significantly improve the recovery outcomes in comparison with the original Berns method.

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Deriving spectra from colors and rendering light interference

Cited by 54 publications

References 11 publications

An Efficient System for Creating Synthetic InSAR Images from Simulations

An Efficient System for Creating Synthetic InSAR Images from Simulations

Rendering Optical Effects Based on Spectra Representation in Complex Scenes

Reconstruction of reflectance data by modification of Berns' Gaussian method

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