Robust 3D reconstruction with omni-directional camera based on structure from motion

Mengcheng Song; Hiroshi Watanabe; Junich Hara

doi:10.1109/IWAIT.2018.8369715

Robust 3D reconstruction with omni-directional camera based on structure from motion

Mengcheng Song, Hiroshi Watanabe, Junich Hara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

3D scenes reconstruction with omni-directional camera is of utmost significance as the camera can capture the 360 degrees scene. It dramatically improves the performance of Structure from Motion (SfM) since the tracked interest points will not miss with a long base-line and sharp rotation. This paper proposes a system with preprocessing and modification based on conventional SfM pipeline for equirectangular images produced by omni-directional camera. The results show that proposed system can well estimate the accurate ego-motion and sparse 3D structure of a synthetic scene as well as a real-world scene by solving the problem of distortion and lower quality at certain area of the equirectangular images.

Original language	English
Title of host publication	2018 International Workshop on Advanced Image Technology, IWAIT 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538626153
DOIs	https://doi.org/10.1109/IWAIT.2018.8369715
Publication status	Published - 2018 May 30
Event	2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand Duration: 2018 Jan 7 → 2018 Jan 9

Other

Other	2018 International Workshop on Advanced Image Technology, IWAIT 2018
Country	Thailand
City	Chiang Mai
Period	18/1/7 → 18/1/9

Keywords

3D structure
ego-motion
Omni-directional camera
structure from motion

ASJC Scopus subject areas

Computer Networks and Communications
Computer Vision and Pattern Recognition
Media Technology

Access to Document

10.1109/IWAIT.2018.8369715

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Cite this

Song, M., Watanabe, H., & Hara, J. (2018). Robust 3D reconstruction with omni-directional camera based on structure from motion. In 2018 International Workshop on Advanced Image Technology, IWAIT 2018 (pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWAIT.2018.8369715

Song, M, Watanabe, H & Hara, J 2018, Robust 3D reconstruction with omni-directional camera based on structure from motion. in 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 2018 International Workshop on Advanced Image Technology, IWAIT 2018, Chiang Mai, Thailand, 18/1/7. https://doi.org/10.1109/IWAIT.2018.8369715

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abstract = "3D scenes reconstruction with omni-directional camera is of utmost significance as the camera can capture the 360 degrees scene. It dramatically improves the performance of Structure from Motion (SfM) since the tracked interest points will not miss with a long base-line and sharp rotation. This paper proposes a system with preprocessing and modification based on conventional SfM pipeline for equirectangular images produced by omni-directional camera. The results show that proposed system can well estimate the accurate ego-motion and sparse 3D structure of a synthetic scene as well as a real-world scene by solving the problem of distortion and lower quality at certain area of the equirectangular images.",

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N2 - 3D scenes reconstruction with omni-directional camera is of utmost significance as the camera can capture the 360 degrees scene. It dramatically improves the performance of Structure from Motion (SfM) since the tracked interest points will not miss with a long base-line and sharp rotation. This paper proposes a system with preprocessing and modification based on conventional SfM pipeline for equirectangular images produced by omni-directional camera. The results show that proposed system can well estimate the accurate ego-motion and sparse 3D structure of a synthetic scene as well as a real-world scene by solving the problem of distortion and lower quality at certain area of the equirectangular images.

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