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Run-Dong Wu

dblp:138/3464 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Rendering · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering › appearance modeling
spherical function representation
0.212013
Anisotropic spherical Gaussians · ACM Trans. Graph. 2013

Methods — techniques the papers use, named apart from their topics

convolution · 0.2closed-form integral operators · 0.2bingham distribution · 0.2
YearPublicationVenuePosition
2013 Anisotropic spherical Gaussians
abstract
We present a novel anisotropic Spherical Gaussian (ASG) function, built upon the Bingham distribution [Bingham 1974], which is much more effective and efficient in representing anisotropic spherical functions than Spherical Gaussians (SGs). In addition to retaining many desired properties of SGs, ASGs are also rotationally invariant and capable of representing all-frequency signals. To further strengthen the properties of ASGs, we have derived approximate closed-form solutions for their integral, product and convolution operators, whose errors are nearly negligible, as validated by quantitative analysis. Supported by all these operators, ASGs can be adapted in existing SG-based applications to enhance their scalability in handling anisotropic effects. To demonstrate the accuracy and efficiency of ASGs in practice, we have applied ASGs in two important SG-based rendering applications and the experimental results clearly reveal the merits of ASGs.
Kun Xu 0003, Wei-Lun Sun, Zhao Dong 0001, Danyong Zhao, Run-Dong Wu, Shi-Min Hu 0001
ACM Trans. Graph.5