Foreground Enlargement of Omnidirectional Images by Spherical Trigonometry

An Shui Yu, Hara Kenji, Kohei Inoue, Kiichi Urahama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Omnidirectional images with a 360-degree field of view have much smaller foreground regions compared to background regions and thus are difficult to visually recognize, especially when displaying on a small size display. In this paper, we propose a method for enhancing visibility of omnidirectional images by enlarging the user specified foreground regions while compressing the other background regions without the sense of visual incompatibility. The proposed method first transforms the omnidirectional image into a 3D spherical image, and then relocates the spherical nodes, which are assigned pixel values, from their initial position to a preferable position based on point correspondence between spherical polygons. The experiments demonstrate that our approach produces satisfactory omnidirectional images in which the foreground regions are enlarged analogously.

Original languageEnglish
Title of host publication2018 24th International Conference on Pattern Recognition, ICPR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2630-2635
Number of pages6
ISBN (Electronic)9781538637883
DOIs
Publication statusPublished - Nov 26 2018
Event24th International Conference on Pattern Recognition, ICPR 2018 - Beijing, China
Duration: Aug 20 2018Aug 24 2018

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2018-August
ISSN (Print)1051-4651

Other

Other24th International Conference on Pattern Recognition, ICPR 2018
CountryChina
CityBeijing
Period8/20/188/24/18

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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