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Warren N. Waggenspack

dblp:41/1721 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, 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
Geometric modeling and processing · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
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
Computational social science and digital humanities
archaeology
0.112015
3D Fragment Reassembly Using Integrated Template Guidance and Fracture-Region Matching · ICCV 2015

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

template guidance · 0.4groupwise matching · 0.4fracture-region matching · 0.4
YearPublicationVenuePosition
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
ICCV4