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2D Points Curve Reconstruction Survey and Benchmark

  • S. Ohrhallinger
  • , J. Peethambaran
  • , A. D. Parakkat
  • , T. K. Dey
  • , R. Muthuganapathy
  • Vienna University of Technology
  • Department of Mathematics and Computing Science
  • Saint Mary's University
  • Department of Biosciences and Bioengineering
  • Computer Science Department
  • Purdue University
  • Advanced Geometric Computing Lab
  • Indian Institute of Technology Madras

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple and non-manifold outlines, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. We survey the literature on 2D curve reconstruction and then present an open-sourced benchmark for the experimental study. Our unprecedented evaluation of a selected set of planar curve reconstruction algorithms aims to give an overview of both quantitative analysis and qualitative aspects for helping users to select the right algorithm for specific problems in the field. Our benchmark framework is available online to permit reproducing the results and easy integration of new algorithms.

Original languageEnglish
Pages (from-to)611-632
Number of pages22
JournalComputer Graphics Forum
Volume40
Issue number2
DOIs
Publication statusPublished - 1 May 2021
Externally publishedYes

Keywords

  • Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation—Line and curve generation

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