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Hongjun Jeon

dblp:19/6848 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 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 · 100%

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

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
deformable body simulation
0.112007
Interactive Motion Control of Deformable Objects Using Localized Optimal Control · ICRA 2007
Computer animation and physical simulation › motion control
interactive motion control
0.112007
Interactive Motion Control of Deformable Objects Using Localized Optimal Control · ICRA 2007

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

optimal path generation · 0.1localized optimal control · 0.1
YearPublicationVenuePosition
2007 Interactive Motion Control of Deformable Objects Using Localized Optimal Control
abstract
In this paper we present a novel interactive method and interface techniques for controlling the behavior of physically-based simulation of deformable objects. The goal of our research is to provide users an ability to control the motion which appears physically correct, preserves the moving pattern of the original motion, and satisfies goals for a deformable object. In our approach, a user can select any part of the deformable structure, called control points, and can define target poses by moving control points. A user also can define target poses then our system automatically generates the motion path to achieve the target pose. With this technique patient specific organ simulation can be achieved by using a stream of image data. A series of sectional images can be the target poses. The optimal path generator computes the required control parameters that steer the intended node to the desired goal position while preserving the moving pattern of the original motion. It guarantees that the edited motion is physically conforming and natural.
Hongjun Jeon, Min-Hyung Choi
ICRA1