REAL-TIME DYNAMIC THREE-DIMENSIONAL ADAPTIVE OBJECT RECOGNITION AND MODEL RECONSTRUCTION

摘要

Methods and systems are described for generating a three-dimensional (3D) model of an object represented in a scene. A computing device receives a plurality of images captured by a sensor, each image depicting a scene containing physical objects and at least one object moving and/or rotating. The computing device generates a scan of each image comprising a point cloud corresponding to the scene and objects. The computing device removes one or more flat surfaces from each point cloud and crops one or more outlier points from the point cloud after the flat surfaces are removed using a determined boundary of the object to generate a filtered point cloud of the object. The computing device generates an updated 3D model of the object based upon the filtered point cloud and an in-process 3D model, and updates the determined boundary of the object based upon the filtered point cloud.