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Kevin G. Der

dblp:20/2259 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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
Computer animation and physical simulation · 50% Geometric modeling and processing · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
character animation
0.112006
Inverse kinematics for reduced deformable models · ACM Trans. Graph. 2006
Geometric modeling and processing
deformation modeling
0.112006
Inverse kinematics for reduced deformable models · ACM Trans. Graph. 2006
Computer animation and physical simulation
inverse kinematics
0.112006
Inverse kinematics for reduced deformable models · ACM Trans. Graph. 2006
Geometric modeling and processing › deformable models
reduced deformable model
0.112006
Inverse kinematics for reduced deformable models · ACM Trans. Graph. 2006

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

optimization · 0.1
YearPublicationVenuePosition
2006 Inverse kinematics for reduced deformable models
abstract
Articulated shapes are aptly described by reduced deformable models that express required shape deformations using a compact set of control parameters. Although sufficient to describe most shape deformations, these control parameters can be ill-suited for animation tasks, particularly when reduced deformable models are inferred automatically from example shapes. Our algorithm provides intuitive and direct control of reduced deformable models similar to a conventional inverse-kinematics algorithm for jointed rigid structures. We present a fully automated pipeline that transforms a set of unarticulated example shapes into a controllable, articulated model. With only a few manipulations, an animator can automatically and interactively pose detailed shapes at rates independent of their geometric complexity.
Kevin G. Der, Robert W. Sumner, Jovan Popovic
ACM Trans. Graph.1