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extended-abstract

The Southampton York natural scenes (SYNS) dataset

Published: 24 November 2015 Publication History

Abstract

Humans are adept at estimating 3D scene geometry from a stereo image pair, or even from a single image. Computer vision algorithms are less good. Gaining traction on this problem requires a dataset that contains good quality images and ground truth data, and represents the complex and diverse scenes that we encounter. To this end we have developed the Southampton York Natural Scenes (SYNS) public dataset: https://syns.soton.ac.uk.

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  • (2021)Explorable Tone Mapping Operators2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412070(10320-10326)Online publication date: 10-Jan-2021

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CVMP '15: Proceedings of the 12th European Conference on Visual Media Production
November 2015
121 pages
ISBN:9781450335607
DOI:10.1145/2824840
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

  • BMVA: British Machine Vision Association and Society for Pattern Recognition
  • Google Inc.
  • NVIDIA
  • CDE: Centre for Digital Entertainment
  • YouTube: YouTube
  • The Foundry: The Foundry Visionmongers Ltd.
  • Autodesk: Autodesk

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 November 2015

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  • Extended-abstract

Funding Sources

  • EPSRC

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CVMP 2015
Sponsor:
  • BMVA
  • CDE
  • YouTube
  • The Foundry
  • Autodesk

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Overall Acceptance Rate 40 of 67 submissions, 60%

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Cited By

View all
  • (2021)Explorable Tone Mapping Operators2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412070(10320-10326)Online publication date: 10-Jan-2021

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