Study on Methods for Fish-eye Image Correction Based on Spherical Projection Model

DOI

10.2991/fmsmt-17.2017.163How to use a DOI?

Keywords

Fish-eye, image, correction.

Abstract

For short focal length and large field of view, fish-eye lens has been widely applied in such fields as virtual reality, video surveillance, intelligent transportation and robot navigation, but it is necessary to correct the severely distorted images taken by camera with fish-eye lens into the perspective projection images that are visually perceived by human. The 3D fish-eye image correction projects the pixel points of fish-eye image into the space and then maps them into the corrected image based on the correction model. Considering the shortcomings of existing algorithms for extracting the effective region, this paper proposes an improved algorithm for such purpose to ensure both accuracy and efficiency, and presents the fish-eye image correction from the approach of 3D space.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yicong Zhang
AU  - Shujun Zhou
PY  - 2017/04
DA  - 2017/04
TI  - Study on Methods for Fish-eye Image Correction Based on Spherical Projection Model
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 848
EP  - 854
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.163
DO  - 10.2991/fmsmt-17.2017.163
ID  - Zhang2017/04
ER  -