Kang Zhang 0002

dblp:29/177-2 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 2016
0000-0003-0576-6980ORCID · conflict

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

Graphics, computer vision, multimedia, augmented reality and games · 5 · 2 first-authorArtificial intelligence and machine learning · 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
2 papers
Geometric modeling and processing · 100%
Artificial intelligence
1 paper
Robot navigation and mapping · 87% Graph learning · 13%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › SLAM › visual SLAM
RGB-D SLAM
0.212016
A multi-frame graph matching algorithm for low-bandwidth RGB-D SLAM · Comput. Aided Des. 2016
Robotics › Robot navigation and mapping
SLAM
0.212016
A multi-frame graph matching algorithm for low-bandwidth RGB-D SLAM · Comput. Aided Des. 2016
Geometric modeling and processing › shape matching
fragment reassembly
0.212015
3D Fragment Reassembly Using Integrated Template Guidance and Fracture-Region Matching · ICCV 2015
Geometric modeling and processing
shape matching
0.212015
3D Fragment Reassembly Using Integrated Template Guidance and Fracture-Region Matching · ICCV 2015
Geometric modeling and processing › mesh generation
polycube domain construction
0.212014
Optimizing polycube domain construction for hexahedral remeshing · Comput. Aided Des. 2014
Machine learning › Graph learning
graph matching
0.112016
A multi-frame graph matching algorithm for low-bandwidth RGB-D SLAM · Comput. Aided Des. 2016
Computational social science and digital humanities
archaeology
0.112015
3D Fragment Reassembly Using Integrated Template Guidance and Fracture-Region Matching · ICCV 2015
Geometric modeling and processing
mesh generation
0.112014
Optimizing polycube domain construction for hexahedral remeshing · Comput. Aided Des. 2014

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

template guidance · 0.4groupwise matching · 0.4fracture-region matching · 0.4multi-frame graph matching · 0.2polycube optimization · 0.2
YearPublicationVenuePosition
2016 A multi-frame graph matching algorithm for low-bandwidth RGB-D SLAM
Jun Hong 0001, Kang Zhang 0002, Baotong Li, Xin Li 0003
Comput. Aided Des.3
2015 3D Fragment Reassembly Using Integrated Template Guidance and Fracture-Region Matching
abstract
This paper studies matching of fragmented objects to recompose their original geometry. Solving this geometric reassembly problem has direct applications in archaeology and forensic investigation in the computer-aided restoration of damaged artifacts and evidence. We develop a new algorithm to effectively integrate both guidance from a template and from matching of adjacent pieces' fracture-regions. First, we compute partial matchings between fragments and a template, and pairwise matchings among fragments. Many potential matches are obtained and then selected/refined in a multi-piece matching stage to maximize global groupwise matching consistency. This pipeline is effective in composing fragmented thin-shell objects containing small pieces, whose pairwise matching is usually unreliable and ambiguous and hence their reassembly remains challenging to the existing algorithms.
Kang Zhang 0002, Wuyi Yu, Mary Manhein, Warren N. Waggenspack, Xin Li 0003
ICCV1
2014 Optimizing polycube domain construction for hexahedral remeshing
Wuyi Yu, Kang Zhang 0002, Shenghua Wan, Xin Li 0003
Comput. Aided Des.2
2014 A graph-based optimization algorithm for fragmented image reassembly
Kang Zhang 0002, Xin Li 0003
Graph. Model.1
2011 A topology-preserving optimization algorithm for polycube mapping
Shenghua Wan, Zhao Yin, Kang Zhang 0002, Xin Li 0003
Comput. Graph.3