基于多视图三维重建方法在实验室系统中的应用研究

针对愈渐复杂的实验室系统,采用基于多视图的三维重建方法,实现对实验室系统中设备的结构重建.通过尺度不变特征变换(SIFT)匹配算法进行特征提取和匹配,并利用随机抽样一致性算法(RANSAC)和交叉过滤法降低误匹配率;通过多视图聚簇/基于面片的三维多视角立体视觉算法(CM-VS/PMVS)获取稠密点云;利用PCL泊松曲面...

Application of Multi-View 3D Reconstruction Method in Laboratory System

In view of the increasingly complex laboratory system,a multi-view-based three-dimensional (3D) reconstruction method is adopted to achieve the structural reconstruction of the laboratory equipment.First,the scale-invariant feature transform (SIFT) matching algorithm was used to extract and match the features,while the random sample consensus (RANSAC) and cross-filtering methods were used to reduce the false matching rate.Then,the dense point cloud was obtained through clustering multi-view stereo/patch-based multi-view stereo(CMVS/PMVS),which was then processed by PCL Poisson surface reconstruction algorithm to generate a polygonal mesh to obtain the final reconstructed image.Finally,it was verified and tested by real laboratory equipment.Experimental results show that this multi-view based method can perform the 3D reconstruction of laboratory equipments effectively and timely.