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Research Article | Open Access

Panorama completion for street views

TNLIST, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
School of Computer Science & Informatics, Cardiff University, UK.
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Abstract

This paper considers panorama images used for street views. Their viewing angle of 360 causes pixels at the top and bottom to appear stretched and warped. Although current image completion algorithms work well, they cannot be directly used in the presence of such distortions found in panoramas of street views. We thus propose a novel approach to complete such 360 panoramas using optimization-based projection to deal with distortions. Experimental results show that our approach is efficient and provides an improvement over standard image completion algorithms.

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Computational Visual Media
Pages 49-57

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Cite this article:
Zhu Z, Martin RR, Hu S-M. Panorama completion for street views. Computational Visual Media, 2015, 1(1): 49-57. https://doi.org/10.1007/s41095-015-0008-2

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Revised: 31 October 2014
Accepted: 16 February 2015
Published: 08 August 2015
© The Author(s) 2015

This article is published with open access at Springerlink.com

This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.