Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9668104 | Computers in Industry | 2005 | 11 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Dongming Zhao, Songtao Li,