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Andreas Vlachopoulos

dblp:17/1206 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—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 · 77% Computational photography and imaging · 23%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging
3d scanning
0.112008
A system for high-volume acquisition and matching of fresco fragments: reassembling Theran wall paintings · ACM Trans. Graph. 2008
Geometric modeling and processing › shape matching
fragment reassembly
0.112008
A system for high-volume acquisition and matching of fresco fragments: reassembling Theran wall paintings · ACM Trans. Graph. 2008
Geometric modeling and processing › point cloud processing › range image processing
range image registration
0.112008
A system for high-volume acquisition and matching of fresco fragments: reassembling Theran wall paintings · ACM Trans. Graph. 2008
Geometric modeling and processing
shape matching
0.112008
A system for high-volume acquisition and matching of fresco fragments: reassembling Theran wall paintings · ACM Trans. Graph. 2008
Geometric modeling and processing
cultural heritage digitization
0.012008
A system for high-volume acquisition and matching of fresco fragments: reassembling Theran wall paintings · ACM Trans. Graph. 2008

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

range scan alignment · 0.1normal computation · 0.12d-to-3d registration · 0.1
YearPublicationVenuePosition
2020 Markerless detection of ancient rock carvings in the wild: rock art in Vathy, Astypalaia
Giorgos Tsigkas, Giorgos Sfikas, Anastasios Pasialis, Andreas Vlachopoulos, Christophoros Nikou
Pattern Recognit. Lett.4
2008 A system for high-volume acquisition and matching of fresco fragments: reassembling Theran wall paintings
abstract
Although mature technologies exist for acquiring images, geometry, and normals of small objects, they remain cumbersome and time-consuming for non-experts to employ on a large scale. In an archaeological setting, a practical acquisition system for routine use on every artifact and fragment would open new possibilities for archiving, analysis, and dissemination. We present an inexpensive system for acquiring all three types of information, and associated metadata, for small objects such as fragments of wall paintings. The acquisition system requires minimal supervision, so that a single, non-expert user can scan at least 10 fragments per hour. To achieve this performance, we introduce new algorithms to robustly and automatically align range scans, register 2-D scans to 3-D geometry, and compute normals from 2-D scans. As an illustrative application, we present a novel 3-D matching algorithm that efficiently searches for matching fragments using the scanned geometry.
Benedict J. Brown, Corey Toler-Franklin, Diego F. Nehab, Michael Burns, David P. Dobkin, Andreas Vlachopoulos, Christos Doumas, Szymon Rusinkiewicz, Tim Weyrich
ACM Trans. Graph.6