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Opti-Acoustic Stereo Imaging: On System Calibration and 3-D Target Reconstruction

机译:光学立体声立体成像:系统校准和3D目标重建

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摘要

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.
机译:利用声相机进行距离测量是通过声光立体成像对水下目标进行3D形状恢复的关键优势,其中光学和声像对应关系的对极几何形状可以用圆锥截面描述。在本文中,我们提出了通过从噪声图像测量中进行最大似然估计来进行系统校准和3-D场景重建的方法。递归3-D重建方法将闭合形式的解作为初始条件,该形式结合了其他两个闭合形式的解的优点,称为距离和方位角解。进行了综合数据测试,以洞悉新目标成像和3D重建范式的优点,而真实数据实验则根据计算机模拟证实了这一发现,并证明了这种新型3D重建范式的优点。

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