基于TOF三维传感器的单视角重建

Single-view reconstruction based on TOF three-dimensional sensor

三维TOF测距成像对高速机动目标的测量、隐蔽物体探测、非视域目标成像探测具有重要的研究意义.基于TOF三维传感器,设计一种可剔除孤立散点的空间点滤波方法,运用优化的Delaunay三角剖分法实现目标物体单视角三维重建.

Three-dimensional time-of-flight(TOF for short)distance measurement imaging has important research significance for the measurement of high-speed maneuvering targets,detection of hidden objects,and imaging detection of non-visual objects.Based on the TOF three-dimensional sensor,We designed a spatial point filtering method that could eliminate isolated scatter points.The optimized Delaunay triangulation method is used to achieve a single-view three-dimensional reconstruction of the target object.