Title :
Evaluation of SIFT in machine vision applied to industrial automation
Author :
Loch, Gunter N. ; Szymanski, Charbel ; Stemmer, Marcelo Ricardo
Author_Institution :
Dept. of Autom. & Syst., Fed. Univ. of Santa Catarina, Florianopolis, Brazil
Abstract :
This paper presents an evaluation of the SIFT (Scale-Invariant Feature Transform) algorithm against two scenarios related to industrial automation. The first one is related to automated inspection systems. The second scenario describes a vision-based robot and vehicle navigation. The evaluation was performed in the sense of verifying if SIFT complies with the requirements of both scenarios, and identify how this is done.
Keywords :
automatic optical inspection; factory automation; feature extraction; production engineering computing; robot vision; wavelet transforms; SIFT evaluation; automated inspection system; industrial automation; machine vision; scale invariant feature transform; vehicle navigation; vision-based robot; Accuracy; Cameras; Inspection; Lighting; Machine vision; Robots; Vehicle dynamics;
Conference_Titel :
Industrial Informatics (INDIN), 2013 11th IEEE International Conference on
Conference_Location :
Bochum
DOI :
10.1109/INDIN.2013.6622920
