A Four-step Camera Calibration Procedure with Implicit Image Correction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Acoustic imaging: the reconstruction of underwater objects
VIS '91 Proceedings of the 2nd conference on Visualization '91
Augmented Scene Modeling and Visualization by Optical and Acoustic Sensor Integration
IEEE Transactions on Visualization and Computer Graphics
Direct and Indirect 3-D Reconstruction from Opti-Acoustic Stereo Imaging
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Epipolar Geometry of Opti-Acoustic Stereo Imaging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Epipolar Geometry of Opti-Acoustic Stereo Imaging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ground penetrating radar image preprocessing for embedded object in media
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
3-D motion estimation by integrating visual cues in 2-D multi-modal opti-acoustic stereo sequences
Computer Vision and Image Understanding
Ground penetrating radar slice reconstruction for embedded object in media with target follow
WSEAS Transactions on Computers
Perspective and non-perspective camera models in underwater imaging --- overview and error analysis
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Detection and tracking of underwater object based on forward-scan sonar
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I
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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.