Title :
Viewpoint selection for vision systems in industrial inspection
Author :
Alarcon-Herrera, Jose Luis ; Xiang Chen ; Xuebo Zhang
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
fDate :
May 31 2014-June 7 2014
Abstract :
An automatic method for solving the problem of view planning in high-resolution industrial inspection is presented. The method´s goal is to maximize the visual coverage, and to minimize the number of cameras used for inspection. Using a CAD model of the object of interest, we define the scene-points and the viewpoints, with the later being the solution space. The problem formulation accurately encapsulates all the vision- and task-related requirements of the design process for inspection systems. We use a graph-based approach to formulate a solution for the problem. The solution is implemented as a greedy algorithm, and the method is validated through experiments.
Keywords :
CAD; computer vision; greedy algorithms; inspection; production engineering computing; CAD model; automatic method; greedy algorithm; high resolution industrial inspection systems; solution space; view planning; viewpoint selection; vision systems; visual coverage; Cameras; Image resolution; Inspection; Lenses; Robot vision systems; Solid modeling; Visualization;
Conference_Titel :
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/ICRA.2014.6907582