A 3D image processing method for manufacturing process automation
Three-dimensional (3D) image processing provides a useful tool for machine vision applications. Typically a 3D vision system is divided into data acquisition, low-level processing, object representation and matching. In this paper, a 3D object pose estimation method is developed for an automated manufacturing assembly process. The experimental results show that the 3D pose estimation method produces accurate geometrical information for an automated material handling application. (c) 2005 Elsevier B.V. All rights reserved.
3d image processing pose estimation range imaging 3d object recognition pattern recognition robot vision manufacturing technology