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3D Scene Reconstruction Using Panoramic LaserScanning and Monocular Vision

机译:3D使用全景激光和单眼视觉的场景重建

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This paper provide a method for reconstruction of non-structured 3D scene both indoor and outdoor. Based on the fusion of panoramic laser and monocular vision, vi e use Levenberg-Marquardt method to carry out the intrinsic calibration of a camera and the extrinsic calibration between a camera and a 3D laser range finder. 11e use the calibration result to color the laser data, and then expand to the w hole panoramic scene and accomplish the reconstruction of the 3D scene. To expand the range of reconstruction of 3D scene, this paper also provides an improved 1CP algorithm to register two scenes. To reduce the computational complexity, we use position and orientation information to preprocessing the laser data to acquire overlapping region, and with the help of K13 TREE, the searching of matching pairs is speed up. Experiment results with panoramic laser and monocular vision platform show the validity and practicability of the method.
机译:本文提供了一种在室内和室外重建非结构化3D场景的方法。基于全景激光和单眼视觉的融合,VI E使用Levenberg-Marquardt方法进行相机的固有校准和相机与3D激光测距仪之间的外在校准。图11E使用校准结果为激光数据,然后展开到W孔全景场景并完成3D场景的重建。为了扩展3D场景的重建范围,本文还提供了一种改进的1CP算法来注册两个场景。为了降低计算复杂性,我们使用位置和方向信息来预处理激光数据以获取重叠区域,并且在K13树的帮助下,匹配对的搜索是加速。全景激光和单眼视觉平台的实验结果显示了该方法的有效性和实用性。

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