Hall, R.: Illumination and Color in Computer Generated Imagery. Springer-Verlag (1989) Home/Search Document Not in Database Summary Related Articles Check |
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Refraction in Discrete Ray Tracing - Rodgman, Chen (2001) (1 citation) (Correct)
....of refraction in computer graphics, based on Snell s law, was put forward by Kay [13] Whitted [14] later included refraction in a general recursive ray tracing framework. Other effects such as shadows, reflections, global illumination and texturing have long been implemented in surface graphics [15, 16]. There is a trend towards the acceptance and introduction of these rendering effects in volume graphics, for example in vlib [7, 1, 8, 19] however there are few discussions of refraction in volume graphics literature. Critical to implementing refraction in a discrete ray tracer is the problem ....
R. Hall, Illumination and Color in Computer Generated Imagery, Springer-Verlag, New York, (1989).
A Color Model for Rendering Linear Passive Graphic 2D Objects - Braquelaire, Strandh (Correct)
.... While this model is close to the physiological characteristics of the human retina, it is unable to reproduce the real behavior of physical light and physical colored objects [9, 6] For this reason many authors have proposed to consider spectral color models for accurate color manipulations [19, 14, 20, 11, 21, 12, 16]. Let us brie y recall the basis of spectral color models[25] Given a spectral distribution function E( it is possible to compute the CIE 1931 XYZ representation of the color of E( by using the three CIE sensibility functions x( y( z( E( x( d ; E( y( d ; Z = ....
R.H. Hall. Illumination and Color in Computer Generated Imagery. Springer-Verlag, 1989.
Stratified Wavelength Clusters for Efficient Spectral Monte.. - Evans, McCool (1999) (2 citations) (Correct)
....all spectra with the same XYZ coordinates should be perceived as the same colour by normal human observers. Such perceptually equivalent spectra are called metamers. A 3 Theta 3 matrix multiplication can convert XYZ colour coordinates to any desired linear trichromatic colour coordinate system [7]. Given the XYZ coordinates of a set of phosphors on a monitor, a matrix M can easily be derived to convert from XYZ coordinates to the monitor s RGB phosphor space, at least for colours within the gamut of the monitor and within the limits of an assumption of linearity [3, 5] The traditional ....
....two spectra can interact by multiplication (reflection and absorption) using a trichromatic representation to compute the interaction of spectra can lead to major colour and illumination errors. In particular, absorption cannot be correctly handled using only trichromatic colour computations [7] due to its nonlinear exp( Gammaff( z) factor. In the case of reflection, elementwise multiplication of colour coordinates is equivalent to spectral multiplication if and only if the basis functions used to reconstruct the spectra are nonoverlapping box functions. For only three colour ....
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Roy Hall. Illumination and Color in Computer Generated Imagery. Springer-Verlag, 1989.
Hardware Rendering with Bidirectional Reflectances - Kautz (1999) (2 citations) (Correct)
....matching functions. Then we integrate numerically the product over the visible spectrum: where , are the tristimulus values, are colour matching functions defined by the CIE. The normalizing constant should be chosen such that the resulting BRDF is not brighter or dimmer than before [Hal89] The tristimulus values , still need to be converted to RGB. This is done by the following computation: where is a matrix chosen to match the particular display device [Hal89] The whole computation has to be done for each combination of and when the BRDF is initially sampled. We then ....
....the CIE. The normalizing constant should be chosen such that the resulting BRDF is not brighter or dimmer than before [Hal89] The tristimulus values , still need to be converted to RGB. This is done by the following computation: where is a matrix chosen to match the particular display device [Hal89] The whole computation has to be done for each combination of and when the BRDF is initially sampled. We then create three BRDF maps out of the three data sets (i.e. we run three SVDs) and merge the three BRDF maps into one. This is done in the same way as seen in Equation 4.4, i.e. we scale ....
Roy Hall. Illumination and Color in Computer Generated Imagery. Springer-Verlag, New York, 1989.
Homomorphic Factorization of BRDFs for High-Performance.. - McCool, Ang, Ahmad (2001) (11 citations) (Correct)
....described in Equation 5 in logarithmic space by minimizing RMS error, we will in fact be minimizing relative RMS error for the solution to the original nonlinear problem. This is perceptually desirable, since the eye seems to be roughly sensitive to ratios of intensity, not absolute intensity [7, 13]. 3.2 Parameterization Despite the potential generality of our approach, in this paper we will limit ourselves (mostly) to a three factor approximate BRDF representation and a very simple parameterization that reuses one of two texture maps: h = norm(#o # i ) 8) p(#o ) q( h) p(# i ) ....
R. Hall. Illumination and Color in Computer Generated Imagery. SpringerVerlag, 1989.
The Scirun Problem Solving Environment And Computational Steering .. - Parker (1999) (2 citations) (Correct)
....These simulations are typically long running, CPUintensive computations [38] The Monte Carlo sampling is typically performed by evaluating the light spectrum that enters a virtual camera. Since the computation is done in spectral units, it must be transformed into RGB colors suitable for display [41]. To complicate matters, the resulting RGB colors are not always within the range displayable on a computer monitor. There are a wide variety of methods used to compress the gamut of the image, but they vary in subjective quality from image to image [93] Computational steering is used in the ....
....the program is still executing. ffl PathTracer performs the actual Monte Carlo integration of the rendering equation for a particular scene. Produces an image that contains a sampling of a spectrum at each pixel. ffl SpectrumToXYZ transforms the spectrum at each pixel to the XYZ color space [41]. ffl XYZtoRGB transforms each pixel from the XYZ color space to RGB colors, ready for display. The user interface is used to select the gamut compression algorithm used. In addition to the controls on the color space transformation modules, the user can directly manipulate the sampling density ....
HALL, R. Illumination and Color in Computer Generated Imagery. SpringerVerlag, 1989.
PNG (Portable Network Graphics) Specification Version 1.0 - For List Of (Correct)
....exactly on the destination device. The process of making the colors fit, which can range from a simple clip to elaborate nonlinear scaling transformations, is termed gamut mapping. The aim is to produce a reasonable visual representation of the original image. Further reading References [COLOR 1] through [COLOR 5] provide more detail about color theory. 15 Appendix: Sample CRC Code The following sample code represents a practical implementation of the CRC (Cyclic Redundancy Check) employed in PNG chunks. See also ISO 3309 [ISO 3309] or ITU T V.42 [ITU V42] for a formal specification. ....
Hall, Roy, Illumination and Color in Computer Generated Imagery. Springer-Verlag, NewYork, 1989. ISBN 0-387-96774-5.
Partial Evaluation Applied to Ray Tracing - Andersen (1995) (13 citations) (Correct)
....recent ray tracing project, and to document the results. The objective of the project is to redo Mogensen s experiment [Mogensen 86] with applying partial evaluation to ray tracing, but in another setting. We have implemented the standard recursive ray tracing algorithm [Foley 90] Glassner 89] Hall 89] in C and programmed it for speed. The focus in this project is on using partial evaluation to optimize an already efficient program. Also we want to investigate the problems that occur when partial evaluation is applied to production quality programs. The experiments show that this particular ....
Hall, Roy. Illumination and Color in Computer Generated Imagery. 1989.
A Visibility Matching Tone Reproduction Operator for.. - Larson, Rushmeier.. (1997) (31 citations) (Correct)
.... CIE results to display RGB values end We have not discussed the final step, mapping the computed display luminances and chrominances to appropriate values for the display device (e.g. monitor RGB settings) This is a well studied problem, and we refer the reader to the literature (e.g. [Hall89]) for details. Bear in mind that the mapped image accounts for the black level of the display, which must be subtracted out before applying the appropriate gamma and color corrections. Although we state that the above steps must be carried out in this order, a few of the steps may be moved around, ....
R. Hall, Illumination and Color in Computer Generated Imagery, SpringerVerlag, New York, 1989.
Shape From Shading for Non-Lambertian Surfaces - Bakshi (1994) (1 citation) (Correct)
....a computer graphics problem. These images can be synthesized using the shape of the object (usually represented as surface normals) the reflectance properties of the object s surface, and the distribution of the light sources. Using this information, one can employ techniques such as ray tracing [8, 15] to create realistic looking images. If we assume a single point light source and Lambertian reflectance, the relationship between image intensity and object shape is [19] E(x; y) n(x; y) Delta s: 2:1) This is interpreted to mean that the image intensity, E(x; y) is equal to the angle ....
....plane as well as the viewing direction vector. The points on the rotated image plane are then projected along the new direction vector (using orthographic projection) and the superquadrics functions are queried to determine where an intersection occurs. This type of raytracing is described in [8, 15]. A sample of these rotated superquadrics is given in Figure 6.1 6.2 Surfaces of Revolution The superquadric equations can model surfaces with properties that are representative of commonly seen objects. However, the standard superquadrics are symmetrical in three dimensions. A wide variety of ....
R. Hall. Illumination and Color in Computer Generated Imagery, chapter 4.2. Springer-Verlag, New York, 1989.
The Direct Lighting Computation in Global Illumination Methods - Wang (Correct)
....an effective objective measure of the validity of an imposter will be difficult to derive. Modification schemes similar to luminaire imposters are widely used in image synthesis, 51 for example objects with simplified reflectance functions and objects stored at multiple levels of resolution [21, 27, 80]. Another typical imposter example is to change the physical behavior. For example, non emitting objects in zonal methods can emit the same amount of light as they would reflect [25, 63, 29] 3.3.2 Imposters with Extra Information In a daytime indoor scene, the dominant luminaire would be the sun ....
Roy Hall. Illumination and Color in Computer Generated Imagery. Springer-Verlag, New York, N.Y., 1988.
preprint, original article available at.. - The Visual Computer (Correct)
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Hall, R.: Illumination and Color in Computer Generated Imagery. Springer-Verlag (1989)
Representing Spectral Functions by a Composite Model of.. - Components For Efficient (Correct)
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Computing Visibility for Triangulated Panoramas - Chi-Wing Fu Tien-Tsin (Correct)
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R. Hall. Illumination and Color in Computer Generated Imagery. Springer-Verlag, 1988.
Appeared in ACM Computer Graphics Proceedings (SIGGRAPH 94) - Generalization Of Lambert's (Correct)
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R. Hall. Illumination and Color in Computer Generated Imagery. Springer-Verlag, 1989.
Relevance Feedback Techniques for Color-based Image Retrieval - Tat-Seng Chua Wai-Chee (1998) (2 citations) (Correct)
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Hall R. (1989). Illumination and Color in Computer Generated Imagery. Springer-Verlag, New York.
Direct Volume Rendering of Photographic Volumes Using.. - Morris, Ebert (2002) (1 citation) (Correct)
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Hall, Roy. Illumination and Color in Computer Generated Imagery,Springer-Verlag, 1989. 7
A Survey of Shading and Reflectance Models - Schlick (1994) (2 citations) (Correct)
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R.Hall, Illumination and Color in Computer Generated Imagery, Springer-Verlag, 1989
Color Fidelity in Computer Graphics: a Survey - Rougeron, Péroche (2002) (2 citations) (Correct)
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Hall R., Illumination and Color in Computer Generated Images, Springer-Verlag, New-York, 1989.
Tone Reproduction and Physically Based Spectral Rendering - Devlin, Chalmers.. (2002) (5 citations) (Correct)
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Roy Hall. Illumination and Color in Computer Generated Imagery. Springer-Verlag, New York, NY, 1989. 3, 4
Reflectance Models with Fast Importance Sampling - Neumann, Szirmay-Kalos (1999) (1 citation) (Correct)
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R. Hall. Illumination and Color in Computer Generated Imagery. Springer-Verlag, New York, 1989.
Representation And Processing Of Surface Data - Greiner (Correct)
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R. Hall. Illumination and Color in Computer Generated Imagery. Springer, New York, 1989.
Selected Applications - Paulus (Correct)
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R. Hall. Illumination and Color in Computer Generated Imagery. Springer, New York, 1989.
Ray Tracing Abstracts Survey - Wilson (Correct)
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Hall, Roy. Illumination and Color in Computer Generated Imagery, Springer-Verlag, 1989. f7g
Biologically and Physically-Based Rendering of Natural Scenes - Baranoski (1998) (Correct)
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Hall, R. Illumination and Color in Computer Generated Imagery. SpringerVerlag, New York, 1989.
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