TY - GEN
T1 - Calibration of DIDSON forward-scan acoustic video camera
AU - Negahdaripour, Shahriar
PY - 2005
Y1 - 2005
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
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U2 - 10.1109/OCEANS.2005.1639932
DO - 10.1109/OCEANS.2005.1639932
M3 - Conference contribution
AN - SCOPUS:33947254029
SN - 0933957343
SN - 9780933957343
T3 - Proceedings of MTS/IEEE OCEANS, 2005
BT - Proceedings of MTS/IEEE OCEANS, 2005
T2 - MTS/IEEE OCEANS, 2005
Y2 - 18 September 2005 through 23 September 2005
ER -