DocumentCode
641235
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
fYear
2013
fDate
29-31 July 2013
Firstpage
414
Lastpage
419
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics (INDIN), 2013 11th IEEE International Conference on
Conference_Location
Bochum
Type
conf
DOI
10.1109/INDIN.2013.6622920
Filename
6622920
Link To Document