Title
Evaluation of methods for approximating shapes used to synthesize 3D solid textures
Abstract
In modern computer graphics applications, textures play an important role in conveying the appearance of real-world materials. But while surface appearance can often be effectively captured with a photograph, it is difficult to use example imagery to synthesize fully three-dimensional (3D) solid textures that are perceptually similar to their inputs. Specifically, this research focuses on human perception of 3D solid textures composed of aggregate particles in a binding matrix. Holding constant an established algorithm for approximating particle distributions, we examine the problem of estimating particle shape. We consider four methods for approximating plausible particle shapes—including two methods of our own contribution. We compare the performance of these methods under a variety of input conditions using automated, perceptually motivated metrics, as well as a psychophysical experiment. In the course of assessing the relative performance of the four algorithms, we also evaluate the reliability of the automated metrics in predicting the results of the experiment.
Year
DOI
Venue
2008
10.1145/1278760.1278765
TAP
Keywords
Field
DocType
solid texture,automated metrics,relative performance,plausible particle shape,additional key words and phrases: shape estimation,shape perception,surface appearance,texture synthesis,solid textures,volumetric textures,particle shape,approximating particle distribution,perceptually motivated metrics,aggregate particle,psychophysical experiment,three dimensional,computer graphic,human perception
Computer vision,Computer graphics (images),Matrix (mathematics),Computer science,Artificial intelligence,Computer graphics,Texture synthesis
Journal
Volume
Issue
ISSN
4
4
1544-3558
Citations 
PageRank 
References 
7
0.73
28
Authors
3
Name
Order
Citations
PageRank
Robert Jagnow131715.50
Julie Dorsey22535182.80
Holly Rushmeier32294334.25