基于Kinect的实物地质标本三维重建

3D Reconstruction of Physical Geological Specimen Based on Kinect

基于多视点图像运动结构恢复的三维重建方法相当耗时且鲁棒性低,针对以上问题,提出了一种基于Kinect的实物地质标本的三维重建方法.首先使用GrabCut算法提取前景目标,结合原始深度图像生成对应视角的点云,再基于SIFT特征利用RANSAC算法执行点云粗对准,然后在ICP算法中引入异常值拒绝方法和动态调整权重思想进行点云精细配准,最终重建出完整三维点云模型.实验结果表明该方法能快速重建出良好的实物地质标本三维点云模型,能有效处理标本缺少结构特征的情况,并且鲁棒性高.

The three-dimensional reconstruction method based on multi-view image motion structure restoration is quite time-consuming and has little robustness. Aiming at these issues, a new three-dimensional reconstruction method for physical geological specimen based on Kinect is proposed in this paper. First, the GrabCut algorithm is used to extract the foreground objects, combining with the original depth images to generate the point cloud corresponding point of view. Then, it uses RANSAC algorithm to perform point cloud alignment crudely based on the SIFT feature. Next, the ICP algorithm is improved by introducing the methods of rejecting outliers and adjusting the weight dynamically to perform fine registration of point cloud. Finally, a complete three-dimensional point cloud model is constructed. The experimental results demonstrate that the proposed method can reconstruct the three-dimensional point cloud of physical geological specimen quickly, excellently and robustly. When the specimens lack structural features, the proposed method can handle it effectively.