Calibration of DIDSON forward-scan acoustic video camera

Shahriar Negahdaripour

doi:10.1109/OCEANS.2005.1639932

Calibration of DIDSON forward-scan acoustic video camera

Shahriar Negahdaripour

Electrical and Computer Engineering

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

23 Scopus citations

Abstract

Computer image processing to extract scene and target information is critical in automated underwater search and inspection, target detection, tracking, mapping and object recognition. In turbid waters, the new generation of acoustic video cameras, e.g., a DIDSON, can produce images with higher target details than available from optical sensors. Calibration of these cameras to establish agreement between the data and image projection model is the pre-requisite for the accurate estimation of quantitative information, including positioning and image registration. This paper addresses the internal calibration problem, in order to estimate and rectify the lens distortion in a DIDSON camera to ensure data to model consistency.

Original language	English (US)
Title of host publication	Proceedings of MTS/IEEE OCEANS, 2005
DOIs	https://doi.org/10.1109/OCEANS.2005.1639932
State	Published - 2005
Event	MTS/IEEE OCEANS, 2005 - Washington, DC, United States Duration: Sep 18 2005 → Sep 23 2005

Publication series

Name	Proceedings of MTS/IEEE OCEANS, 2005
Volume	2005

Other

Other	MTS/IEEE OCEANS, 2005
Country	United States
City	Washington, DC
Period	9/18/05 → 9/23/05

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/OCEANS.2005.1639932

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abstract = "Computer image processing to extract scene and target information is critical in automated underwater search and inspection, target detection, tracking, mapping and object recognition. In turbid waters, the new generation of acoustic video cameras, e.g., a DIDSON, can produce images with higher target details than available from optical sensors. Calibration of these cameras to establish agreement between the data and image projection model is the pre-requisite for the accurate estimation of quantitative information, including positioning and image registration. This paper addresses the internal calibration problem, in order to estimate and rectify the lens distortion in a DIDSON camera to ensure data to model consistency.",

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