Title :
View planning for verification using machine vision
Author :
Gerhardt, Lester A. ; Hyun, Kwangik
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
Two different but related issues regarding view planning are: (a) how should the object be best viewed (i.e. orientation with respect to the sensor); (b) how many views are required to completely verify the object? The first step in the solution process is to determine the appropriate criteria for view planning. In the method presented here, surface area, number of surfaces and pixel resolution, have been selected as the criteria. From the inspection planning point of view, optimal view sequencing is needed to inspect a required object completely. Using two parameters (the grouped visible regions and the admissibility of the best viewpoint), a greedy heuristic search algorithm with a logarithmic ratio bound is applied to find a minimal view sequence
Keywords :
automatic optical inspection; computer vision; image sequences; automated inspection; heuristic search algorithm; logarithmic ratio bound; machine vision; object orientation; optical sensor; optimal view sequencing; pixel resolution; surface area; verification; view planning; Computer vision; Inspection; Machine vision; Manufacturing automation; Mechanical engineering; Process planning; Robotics and automation; Sensor phenomena and characterization; Sensor systems; Systems engineering and theory;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413856