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arXiv 2024年

作者： Lu, Jiaxin Liang, Yongqing Han, Huijun Hua, Jiacheng Jiang, Junfeng Li, Xin Huang, Qixing Computer Science Department The University of Texas at Austin 2317 Speedway AustinTX United States Department of Computer Science and Engineering Texas A&M University 435 Nagle St College StationTX United States Department of Computer Science and Technology Tsinghua University 30 Shuangqing Road Beijing China College of Artificial Intelligence and Automation Hohai University 1915 Hohai Avenue Jiangsu Changzhou China Section of Visual Computing & Computational Media Department of Computer Science and Engineering Texas A&M University 789 Ross Street College StationTX United States

Reconstructing a complete object from its parts is a fundamental problem in many scientific domains. The purpose of this article is to provide a systematic survey on this topic. This reassembly problem requires understanding the attributes of individual pieces and establishing matches between different pieces. Many approaches also model priors of the underlying complete object. Existing approaches are tightly connected problems of shape segmentation, shape matching, and learning shape priors. We provide existing algorithms in this context and emphasize their similarities and differences to general-purpose approaches. We also survey the trends from early procedural approaches to more recent deep learning approaches. In addition to algorithms, this survey will also describe existing datasets, open-source software packages, and applications. To the best of our knowledge, this is the first comprehensive survey on this topic in computer graphics. Copyright © 2024, The Authors. All rights reserved.

关键词： Open source software

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OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible 4

OphthalVis - Making Data Analytics of Optical Coherence Tomo...

引用

4th EuroVis Workshop on Reproducibility, Verification, and Validation in visualization, EuroRV3 2016 at EuroVis 2016

作者： Rosenthal, Paul Ritter, Marc Kowerko, Danny Heine, Christian Visual Computing Laboratory Technische Universität Chemnitz Germany Juniorprofessur Media Computing Technische Universität Chemnitz Germany AG Computational Topology TU Kaiserslautern Germany

ISBN: (纸本)9783038680178

In this paper, we discuss the issues of the current state of the art in optical coherence tomography with respect to reproducibility. We present our findings about the internal computations and data storage methods of the currently used devices. The gained knowledge was used to implement a tool to read a variety of OCT file formats and reproduce the visualizations used in daily clinical routine. © 2016 The Author(s) Eurographics Proceedings © 2016 The Eurographics Association.

关键词： Optical tomography

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