Triplet-based sequential merging approach to omnidirectional camera motion reconstruction

Yongho Hwang; Hyunki Hong

doi:10.1117/1.3099714

1 March 2009 Triplet-based sequential merging approach to omnidirectional camera motion reconstruction

Yongho Hwang, Hyunki Hong

Author Affiliations +

Optical Engineering, Vol. 48, Issue 3, 033201 (March 2009). https://doi.org/10.1117/1.3099714

Abstract

A frame grouping and merging scheme of sub-sequences to estimate precise camera motion parameters over long omnidirectional sequences is addressed. In this triplet-based approach, the back-projection errors of corresponding points by the camera model for grouping subsequences are used. This process accounts for the relative reliability of the estimated camera model in field of view. Experimental results show that the proposed method solves the problem inherent in sequential algorithm: its susceptibility to drift over long sequences.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Yongho Hwang and Hyunki Hong "Triplet-based sequential merging approach to omnidirectional camera motion reconstruction," Optical Engineering 48(3), 033201 (1 March 2009). https://doi.org/10.1117/1.3099714

Published: 1 March 2009

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KEYWORDS

Cameras

Calibration

Error analysis

Motion estimation

Motion models

Imaging systems

Optical engineering

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