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基于结构光立体成像的非单视图投影模型水下物体校准与三维重建

Calibration and 3D reconstruction of underwater objects with non-single-view projection model by structured light stereo imaging.

作者信息

Wang Yexin, Negahdaripour Shahriar, Aykin Murat D

出版信息

Appl Opt. 2016 Aug 20;55(24):6564-75. doi: 10.1364/AO.55.006564.

Abstract

Establishing the projection model of imaging systems is critical in 3D reconstruction of object shapes from multiple 2D views. When deployed underwater, these are enclosed in waterproof housings with transparent glass ports that generate nonlinear refractions of optical rays at interfaces, leading to invalidation of the commonly assumed single-viewpoint (SVP) model. In this paper, we propose a non-SVP ray tracing model for the calibration of a projector-camera system, employed for 3D reconstruction based on the structured light paradigm. The projector utilizes dot patterns, having established that the contrast loss is less severe than for traditional stripe patterns in highly turbid waters. Experimental results are presented to assess the achieved calibrating accuracy.

摘要

建立成像系统的投影模型对于从多个二维视图进行物体形状的三维重建至关重要。当部署在水下时,这些成像系统被封装在带有透明玻璃端口的防水外壳中,这些端口会在界面处产生光线的非线性折射,从而导致通常假定的单视点(SVP)模型失效。在本文中,我们提出了一种用于投影仪-相机系统校准的非SVP光线追踪模型,该系统基于结构化光范式用于三维重建。投影仪使用点图案,已经确定在高度浑浊的水中,对比度损失比传统条纹图案要小。给出了实验结果以评估所达到的校准精度。

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