M
Matthew Berger
Researcher at Vanderbilt University
Publications - 46
Citations - 1486
Matthew Berger is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Visualization & Beamforming. The author has an hindex of 10, co-authored 44 publications receiving 1067 citations. Previous affiliations of Matthew Berger include University of Arizona & Air Force Research Laboratory.
Papers
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Journal ArticleDOI
A Survey of Surface Reconstruction from Point Clouds
Matthew Berger,Andrea Tagliasacchi,Lee M. Seversky,Pierre Alliez,Gaël Guennebaud,Joshua A. Levine,Andrei Sharf,Cláudio T. Silva +7 more
TL;DR: A holistic view of surface reconstruction is considered, which shows a detailed characterization of the field, highlights similarities between diverse reconstruction techniques and provides directions for future work in surface reconstruction.
Proceedings ArticleDOI
State of the Art in Surface Reconstruction from Point Clouds
Matthew Berger,Andrea Tagliasacchi,Lee M. Seversky,Pierre Alliez,Joshua A. Levine,Andrei Sharf,Cláudio T. Silva +6 more
TL;DR: A holistic view of surface reconstruction is considered, providing a detailed characterization of the field, highlights similarities between diverse reconstruction techniques, and provides directions for future work in surface reconstruction.
Journal ArticleDOI
A benchmark for surface reconstruction
TL;DR: A benchmark for the evaluation and comparison of algorithms which reconstruct a surface from point cloud data is presented and a simple pipeline for measuring surface reconstruction algorithms is proposed, consisting of three main phases: surface modeling, sampling, and evaluation.
Proceedings ArticleDOI
On Time-Series Topological Data Analysis: New Data and Opportunities
TL;DR: This work considers stability with respect to time series length, the approximation accuracy of sparse filtration methods, and the discriminating ability of persistence diagrams as a feature for learning in the end-toend TDA processing pipeline for persistent homology applied to time-delay embeddings of time series.
Journal ArticleDOI
cite2vec: Citation-Driven Document Exploration via Word Embeddings
TL;DR: This paper presents a new visualization scheme - cite2vec - that allows the user to dynamically explore and browse documents via how other documents use them, information that is captured through citation contexts in a document collection.