Rendering appearance

Dorsey, Julie; Rushmeier, Holly; Sillion, Françis

doi:10.1016/b978-012221181-2.50011-2

Cited by 12 publications

(13 citation statements)

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“…One approach is to learn to observe materials to decompose them into spectral, directional and spatial effects, without reference to specific computer graphics models. Examples of this type of approach have been given by Dorsey et al 38,39 This follows the tradition of teaching observation in art, although with a different view of how appearance should be analyzed. Perhaps alternative approaches to observation and understanding the features of appearance that can be transferred into numerical specifications can be developed.…”

Section: Current Interfacesmentioning

confidence: 97%

The perception of simulated materials

Rushmeier

2008

SPIE Proceedings

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Numerically modeling the interaction of light with materials is an essential step in generating realistic synthetic images. While there have been many studies of how people perceive physical materials, very little work has been done that facilitates efficient numerical modeling. Perceptual experiments and guidelines are needed for material measurement, specification and rendering. For measurement, many devices and methods have been developed for capturing spectral, directional and spatial variations of light/material interactions, but no guidelines exist for the accuracy required. For specification, only very preliminary work has been done to find meaningful parameters for users to search for and to select materials in software systems. For rendering, insight is needed on the perceptual impact of material models when combined with global illumination methods.

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Section: Current Interfacesmentioning

confidence: 97%

The perception of simulated materials

Rushmeier

2008

SPIE Proceedings

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“…Also, to simulate the graphical aspect of the robot components, including the painted objects, there were used 23 materials: 11 metals, 5 plastics and 7 transparent materials. The colors of these materials were defined based on their physical properties [11].…”

Section: B the Simulation Scenementioning

confidence: 99%

3D graphical simulation of an articulated serial manipulator based on kinematic models

Marcu

Lazea

Herle

et al. 2010

19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010)

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This paper presents a portable 3D graphical simulator for a Fanuc M-6iB/2HS articulated robot. The mechanical structure is modeled using OpenGL functions implemented in Qt Framework. The robot motions are simulated based on the direct and inverse kinematics equations also presented in this paper. The simulator features include quick motion, step-by-step simulation, 3D scene control functions, objects selection functions and motion algorithms like joint interpolated motion and linear interpolated motion.

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“…Appearance of material properties has been the focus of ongoing research and publications in the fields of perceptual psychology and computer graphics. [1][2][3][4][5] Related to food appearance, the most noticeable perceptual difference between a peach and a nectarine is generally that the surface of a peach is fuzzy while that of a nectarine is smooth. An image of a nectarine can be manipulated to appear like one of a peach if the glossy highlights of the nectarine are removed and the surface is given reflection properties of a Lambertian surface.…”

Section: Introductionmentioning

confidence: 99%

Correlating objective and subjective evaluation of texture appearance with applications to camera phone imaging

Phillips

Coppola

Jin³

et al. 2009

SPIE Proceedings

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Texture appearance is an important component of photographic image quality as well as object recognition. Noise cleaning algorithms are used to decrease sensor noise of digital images, but can hinder texture elements in the process. The Camera Phone Image Quality (CPIQ) initiative of the International Imaging Industry Association (I3A) is developing metrics to quantify texture appearance. Objective and subjective experimental results of the texture metric development are presented in this paper. Eight levels of noise cleaning were applied to ten photographic scenes that included texture elements such as faces, landscapes, architecture, and foliage. Four companies (Aptina Imaging, LLC, Hewlett-Packard, Eastman Kodak Company, and Vista Point Technologies) have performed psychophysical evaluations of overall image quality using one of two methods of evaluation. Both methods presented paired comparisons of images on thin film transistor liquid crystal displays (TFT-LCD), but the display pixel pitch and viewing distance differed. CPIQ has also been developing objective texture metrics and targets that were used to analyze the same eight levels of noise cleaning. The correlation of the subjective and objective test results indicates that texture perception can be modeled with an objective metric. The two methods of psychophysical evaluation exhibited high correlation despite the differences in methodology.

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Rendering appearance

Cited by 12 publications

References 0 publications

The perception of simulated materials

The perception of simulated materials

3D graphical simulation of an articulated serial manipulator based on kinematic models

Correlating objective and subjective evaluation of texture appearance with applications to camera phone imaging

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