球面全景相机图像的标定与三维重建

H. Madokoro, Satoshi Yamamoto, Yoshiteru Nishimura, Stephanie Nix, Hanwool Woo, Kazuhito Sato
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引用次数: 0

摘要

本研究旨在开发一种应用于作物监测的三维重建程序。对于类似目标物体的3D构造,我们比较了两种相机类型获得的图像:紧凑型数码相机(CDC)和球形全景相机(SPC)。首先,我们从包含棋盘的图像中计算相机参数。随后,我们利用相机参数对图像畸变进行校正,包括目标物体畸变。最后,我们基于运动结构(SfM)估计相机位置和三维(3D)重建。实验结果表明,与标定前相比,标定后的目标物体的三维重建得到了改善。此外,我们还在室外环境中用一棵树进行了应用试验,作为在农场实际使用的试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibration and 3D Reconstruction of Images Obtained Using Spherical Panoramic Camera
This study was conducted to develop a 3D reconstruction procedure for application to crop monitoring. For 3D construction of a similar target object, we compared images obtained from two camera types: a compact digital camera (CDC) and a spherical panoramic camera (SPC). First, we calculate camera parameters from images that include a checkerboard. Subsequently, we correct the image distortion including that of the target object using the camera parameters. Finally, we estimate camera positions and three-dimensional (3D) reconstruction based on the structure from motion (SfM). Experimentally obtained results demonstrated that the 3D reconstruction of a target object was improved after calibration compared with that before calibration. Moreover, we conducted an application experiment using a tree in an outdoor environment as a trial of practical use at a farm.
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