Negahdaripour, S.Sekkati, H.Pirsiavash, H.2019-07-032019-07-032007-07-16S. Negahdaripour, et.al, Opti-Acoustic Stereo Imaging, System Calibration and 3-D Reconstruction, 2007 IEEE Conference on Computer Vision and Pattern Recognition, DOI: 10.1109/CVPR.2007.383361https://doi.org/10.1109/CVPR.2007.383361http://hdl.handle.net/11603/143342007 IEEE Conference on Computer Vision and Pattern RecognitionUtilization 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 so-called 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.8 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.© 2007 IEEEacousto-optical signal processingimage reconstructionmaximum likelihood estimationstereo image processingsystem calibrationacoustic camerarange measurementsrecursive 3D reconstruction methodtarget imagingthree dimensional displaysoptical imagingcamerasText