激光与光电子学进展, 2012, 49 (5): 051001, 网络出版: 2012-03-26
基于机器视觉的三维重建技术研究 下载: 717次
Research on the Technology of Three-Dimensional Reconstruction Based on Machine Vision
机器视觉 三维重建 摄像机定标 特征点检测和匹配 RANSAC算法 machine vision three-dimensional reconstruction camera calibration feature-point detection and matching RANSAC algorithm
摘要
研究了基于机器视觉的三维重建技术。利用普通的数码摄像机拍摄图片,通过摄像机定标、特征点检测和匹配、基础矩阵和本质矩阵计算来实现图像的三维重建。采用张正友标定方法的相机标定工具箱实现了相机的标定,利用尺度不变特征变换(SIFT)特征点的检测和匹配方法进行了图像特征点的检测和匹配,采用RANSAC算法计算基础矩阵,最后利用相机内参数和由基础矩阵获得的本质矩阵重建物体的特征点,并进行纹理贴图。实验结果表明利用这些图像可以进行物体重建,并且能够很好地反映出物体的三维特征。
Abstract
The three-dimensional (3D) reconstruction technology based on machine vision is researched. We use the pictures shot by ordinary digital cameras to achieve 3D reconstruction through camera calibration, feature-point detection and matching, and the calculation of fundamental matrix and essential matrix. We complete the camera calibration by Camera Calibration ToolBox for Matlab based on Zhang Zhengyou′s method. The scale invariant feature transform (SIFT) method is used for image feature-points detection and matching, and the random sample consensus (RANSAC) algorithm is adopted to calculate the fundamental matrix and the essential matrix. Then we use the camera internal parameters got in advance and the essential matrix obtained from the fundamental matrix to reconstruct the feature points of the objects and achieve the 3D effect by pasting pictures of texture. The experimental results show that it can complete the reconstruction and can well reflect the 3D feature of the objects.
张宁, 常雷, 徐熙平. 基于机器视觉的三维重建技术研究[J]. 激光与光电子学进展, 2012, 49(5): 051001. Zhang Ning, Chang Lei, Xu Xiping. Research on the Technology of Three-Dimensional Reconstruction Based on Machine Vision[J]. Laser & Optoelectronics Progress, 2012, 49(5): 051001.