This article describes the 3D handheld profiling system composed of a stereo camera and an illumination projector to collect high-resolution data for close range of applications. Visual navigation approach is either based on feature matching or on accurate target, and the target-based approach was found to be more accurate if the 3D object has less texture on its surface. Block matching algorithm was used to render the single-view 3D reconstruction. For multiview 3D modeling, coarse registration and final refinement of the point clouds using iterative closest point algorithm were utilized. The proposed approach yields good accuracy for multiview registration as demonstrated in the results of this research.

本文介绍了一种由立体相机和照明投影仪组成的3D手持配置文件系统，该系统可收集高分辨率数据以用于近距离的应用。视觉导航方法基于特征匹配或基于精确目标，并且如果3D对象的表面纹理较少，则基于目标的方法会更准确。块匹配算法用于渲染单视图3D重建。对于多视图3D建模，利用了迭代最近点算法对点云的粗注册和最终细化。如本研究结果所示，所提出的方法为多视图注册提供了良好的准确性。