光学学报, 2017, 37 (12): 1215002, 网络出版: 2018-09-06   

基于多幅图像的陶瓷碗表面缺陷的局部点云重建 下载: 1103次

Local Point Cloud Reconstruction of Ceramic-Bowl-Surface Defect Based on Multi-Image Sequences
作者单位
西安理工大学机械与精密仪器工程学院, 陕西 西安 710048
摘要
为分析陶瓷碗表面缺陷的形状、位置及方向等三维信息,提出了一种基于多幅图像的局部点云重建算法。该算法首先利用已标定的双目摄像头从任意角度获取多张表面缺陷图片,然后采用FAST+SURF+FLANN图像特征点提取及匹配算法得到准确度高的匹配点对,最后采用运动恢复结构算法并结合基于面片的多视角立体重建算法,实现二维表面缺陷的局部三维重建。由于局部三维重建无法很好地描述缺陷方向及位置信息,因此采用手动增加特征点的方法实现陶瓷碗表面的全局重建。结果表明,缺陷重建效果较好,缺陷位置、方向及形状信息完整。
Abstract
In order to analyze the three-dimensional information such as the position, shape and direction of the ceramic bowl, the reconstruction algorithm of a local point cloud based on image sequences is proposed. Firstly, a calibrated binocular camera is used to collect many images of surface defect from different angles. Then the image feature point detection and matching algorithm of FAST+SURF+FLANN is used to get high precision matching point pairs. Finally, the local three-dimensional reconstruction of two-dimensional surface defects is realized through the structure from motion algorithm combined with patch-based multi-view stereo algorithm. However, the direction and location of the defect cannot be perfectly described through the local three-dimensional reconstruction. So the proposed algorithm of manually added feature points is adopted to realize the global reconstruction of the surface of the ceramic bowl. The results show that the defect reconstruction results are clear, and the defect position, direction and shape information is complete.

郭萌, 胡辽林, 李捷. 基于多幅图像的陶瓷碗表面缺陷的局部点云重建[J]. 光学学报, 2017, 37(12): 1215002. Meng Guo, Liaolin Hu, Jie Li. Local Point Cloud Reconstruction of Ceramic-Bowl-Surface Defect Based on Multi-Image Sequences[J]. Acta Optica Sinica, 2017, 37(12): 1215002.

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