DocumentCode :
3030879
Title :
Feature-based Object Recognition
Author :
Howarth, J.W. ; Bakker, H. H C ; Flemmer, R.C.
Author_Institution :
Sch. of Eng. & Adv. Technol. (SEAT), Massey Univ., Palmerston North
fYear :
2009
fDate :
10-12 Feb. 2009
Firstpage :
375
Lastpage :
379
Abstract :
The use of grey-scale contours, and fingerprints derived from this, has recently been used to analyse images for object recognition. The processing of these data can take a number of different forms. This paper describes a method for using characteristic aspects of the fingerprint, and geometrical relationships between them, to reduce an image to a set of simple geometric features. These features allow for compact storage in a database and very fast scanning to create a short list of candidate matching objects.
Keywords :
edge detection; fingerprint identification; geometry; image matching; object recognition; candidate matching objects; feature-based object recognition; geometric features; grey-scale contours; Automation; Computer vision; Feature extraction; Fingerprint recognition; Image analysis; Image databases; Machine vision; Object recognition; Robots; Spatial databases; artificial intelligence; artificial vision; computer vision; image contours; machine vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Autonomous Robots and Agents, 2009. ICARA 2009. 4th International Conference on
Conference_Location :
Wellington
Print_ISBN :
978-1-4244-2712-3
Electronic_ISBN :
978-1-4244-2713-0
Type :
conf
DOI :
10.1109/ICARA.2000.4804015
Filename :
4804015
Link To Document :
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