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 |
|---|---|
| Title of host publication | Proceedings of MTS/IEEE OCEANS, 2005 |
| Volume | 2005 |
| DOIs | |
| State | Published - Dec 1 2005 |
| Event | MTS/IEEE OCEANS, 2005 - Washington, DC, United States Duration: Sep 18 2005 → Sep 23 2005 |
Other
| Other | MTS/IEEE OCEANS, 2005 |
|---|---|
| Country | United States |
| City | Washington, DC |
| Period | 9/18/05 → 9/23/05 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Calibration of DIDSON forward-scan acoustic video camera. / Negahdaripour, Shahriar.
Proceedings of MTS/IEEE OCEANS, 2005. Vol. 2005 2005. 1639932.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Calibration of DIDSON forward-scan acoustic video camera
AU - Negahdaripour, Shahriar
PY - 2005/12/1
Y1 - 2005/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33947254029&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33947254029&partnerID=8YFLogxK
U2 - 10.1109/OCEANS.2005.1639932
DO - 10.1109/OCEANS.2005.1639932
M3 - Conference contribution
AN - SCOPUS:33947254029
SN - 0933957343
SN - 9780933957343
VL - 2005
BT - Proceedings of MTS/IEEE OCEANS, 2005
ER -