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Inkyu Han

dblp:01/5402 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2011
—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-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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
Geometric modeling and processing · 88% Virtual and augmented reality · 12%

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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
3d reconstruction
0.112011
Graph-cut-based 3D model segmentation for articulated object reconstruction · ISMAR 2011
Geometric modeling and processing › 3d reconstruction › non-rigid 3d reconstruction
articulated object reconstruction
0.112011
Graph-cut-based 3D model segmentation for articulated object reconstruction · ISMAR 2011
Virtual and augmented reality
augmented reality
0.012011
Graph-cut-based 3D model segmentation for articulated object reconstruction · ISMAR 2011
Geometric modeling and processing › deformable models
deformable object modeling
0.012011
Graph-cut-based 3D model segmentation for articulated object reconstruction · ISMAR 2011

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

graph-cut segmentation · 0.1
YearPublicationVenuePosition
2011 Graph-cut-based 3D model segmentation for articulated object reconstruction
abstract
The three-dimensional (3D) reconstruction of objects has been well studied in the literature of augmented reality (AR) [1, 2]. Most existing studies have assumed that the to-be-constructed target object is rigid, whereas objects in the real world can be dynamic or deformable. Therefore, AR systems are required to deal with non-rigid objects to be adaptive to environmental changes. In this paper, we address the problem of reconstructing articulated objects as a starting point for modeling deformable objects. An articulated object is composed of partially rigid components linked with joints. After building a mesh model of the object, the model is segmented into the components along their boundaries by a graph-cut-based approach that we propose.
Inkyu Han, Hyoungnyoun Kim, Ji-Hyung Park
ISMAR1
2007 Security and Test Environment for SIP
Geuk Lee, Seok Tae Kim, Inkyu Han, Chang Yong Lee, Seon Ho Park, Do Won Yi, Jung Min Oh
ICCSA (2)3