Title :
On a Graph Theory Based Approach for Improved Computer Vision
Author :
Yegnanarayanan, V. ; Umamaheswari, G.K. ; Lakshmi, R. Jothi
Author_Institution :
MCA Dept., DMI Coll. of Eng., Chennai, India
Abstract :
The rapid growth of automation in manufacturing industry results demands better computer vision. Hence computer vision now plays an important role in product inspection, assembly, and design in reverse engineering. In this paper we discuss briefly the importance of certain graph theory techniques for developing a method for automatic sensor placement including the optimal sensor placements for improved computer vision.
Keywords :
computer vision; graph theory; manufacturing industries; reverse engineering; automatic sensor placement; computer vision; graph theory; optimal sensor placement; product inspection; reverse engineering; Assembly; Computer vision; Educational institutions; Graph theory; Inspection; Manufacturing automation; Manufacturing industries; Reverse engineering; Sensor phenomena and characterization; Signal processing; Graph; computer vision; sensor placement graph; shortest path;
Conference_Titel :
2009 International Conference on Signal Processing Systems
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3654-5
DOI :
10.1109/ICSPS.2009.138
