TY - JOUR
T1 - Opti-acoustic stereo imaging
T2 - On system calibration and 3-D target reconstruction
AU - Negahdaripour, Shahriar
AU - Sekkati, Hicham
AU - Pirsiavash, Hamed
N1 - Funding Information:
Manuscript received February 23, 2007; revised December 14, 2007. First published April 17, 2009; current version published May 13, 2009. This work was supported in part by the ONR under Grant N00014-05-1-0717 and in part by the National Science Foundation under Grant IIS-7339-0513989. The views, opinions, conclusions, and recommendations expressed by the authors are not to be interpreted as being shared or endorsed by the Office of Navla Research and the National Science Foundation. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Hassan Foroosh.
Funding Information:
Hicham Sekkati recieved the B.S. degree in physics from Rabat, Morroco, in 1994, and the M.S. and Ph.D. degrees from the National Institute for Scientific Research (Institut National de la Recherche Scientique), Montreal, QC, Canada, in 2003 and 2005, respectively.
PY - 2009
Y1 - 2009
N2 - Utilization of an acoustic camera for range measurements is a key advantage for 3-D shape recovery of underwater targets by opti-acoustic stereo imaging, where the associated epipolar geometry of optical and acoustic image correspondences can be described in terms of conic sections. In this paper, we propose methods for system calibration and 3-D scene reconstruction by maximum likelihood estimation from noisy image measurements. The recursive 3-D reconstruction method utilized as initial condition a closed-form solution that integrates the advantages of two other closed-form solutions, referred to as the range and azimuth solutions. Synthetic data tests are given to provide insight into the merits of the new target imaging and 3-D reconstruction paradigm, while experiments with real data confirm the findings based on computer simulations, and demonstrate the merits of this novel 3-D reconstruction paradigm.
AB - Utilization of an acoustic camera for range measurements is a key advantage for 3-D shape recovery of underwater targets by opti-acoustic stereo imaging, where the associated epipolar geometry of optical and acoustic image correspondences can be described in terms of conic sections. In this paper, we propose methods for system calibration and 3-D scene reconstruction by maximum likelihood estimation from noisy image measurements. The recursive 3-D reconstruction method utilized as initial condition a closed-form solution that integrates the advantages of two other closed-form solutions, referred to as the range and azimuth solutions. Synthetic data tests are given to provide insight into the merits of the new target imaging and 3-D reconstruction paradigm, while experiments with real data confirm the findings based on computer simulations, and demonstrate the merits of this novel 3-D reconstruction paradigm.
KW - 3-D reconstruction
KW - Sensor integration
KW - Stereovision
KW - Underwater sonar imaging
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U2 - 10.1109/TIP.2009.2013081
DO - 10.1109/TIP.2009.2013081
M3 - Article
C2 - 19380272
AN - SCOPUS:67349263451
VL - 18
SP - 1203
EP - 1214
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
SN - 1057-7149
IS - 6
ER -