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Yu Wang 0029

dblp:02/5889-29 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
0009-0002-9663-2231ORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 2Artificial intelligence and machine learning · 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
2 papers
Geometric modeling and processing · 72% Image and video processing · 28%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › surface reconstruction
open surface reconstruction
0.212013
Reconstructing Open Surfaces via Graph-Cuts · IEEE Trans. Vis. Comput. Graph. 2013
Geometric modeling and processing
surface reconstruction
0.212013
Reconstructing Open Surfaces via Graph-Cuts · IEEE Trans. Vis. Comput. Graph. 2013

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

graph cuts · 0.2domain decomposition · 0.2delaunay tetrahedralization · 0.2regularization · 0.1
YearPublicationVenuePosition
2013 Reconstructing Open Surfaces via Graph-Cuts
abstract
A novel graph-cuts-based method is proposed for reconstructing open surfaces from unordered point sets. Through a Boolean operation on the crust around the data set, the open surface problem is translated to a watertight surface problem within a restricted region. Integrating the variational model, Delaunay-based tetrahedral mesh and multiphase technique, the proposed method can reconstruct open surfaces robustly and effectively. Furthermore, a surface reconstruction method with domain decomposition is presented, which is based on the new open surface reconstruction method. This method can handle more general surfaces, such as nonorientable surfaces. The algorithm is designed in a parallel-friendly way and necessary measures are taken to eliminate cracks and conflicts between the subdomains. Numerical examples are included to demonstrate the robustness and effectiveness of the proposed method on watertight, open orientable, open nonorientable surfaces and combinations of such.
Yu Wang 0029, Egil Bae, Xue-Cheng Tai
IEEE Trans. Vis. Comput. Graph.2
2012 Fast Regularization of Matrix-Valued Images
Guy Rosman, Yu Wang 0029, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
ECCV (3)2