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Research on 3D Point Cloud Model Reconstruction Method Based on Multi-Kinects

机译:基于多功能的3D点云模型重建方法研究

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摘要

3D reconstruction technology has always been a challenging research topic in the field of computer vision, a new 3D reconstruction system based on the new generation Kinect V2 is proposed in this paper, use two Kinects to collect object images from different views on the same horizontal line, through the calibration, denoising, registration and image mosaic, the 3D point cloud model of the object is obtained, the experimental results show that the method has better practicability and feasibility than kinectv1, which can be widely used in 3D reconstruction.
机译:3D重建技术始终是计算机视野中有挑战性的研究主题,在本文中提出了一种基于新一代Kinect v2的新型3D重建系统,使用两个Kinects在同一水平线上收集来自不同视图的对象图像,通过校准,去噪,登记和图像马赛克,获得物体的3D点云模型,实验结果表明该方法具有比Kinectv1更好的实用性和可行性,可广泛用于3D重建。

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