DocumentCode :
3030796
Title :
Generalised object recognition
Author :
Flemmer, R.C. ; Bakker, H. H C
Author_Institution :
Sch. of Eng. & Adv. Technol., Massey Univ., Palmerston North
fYear :
2009
fDate :
10-12 Feb. 2009
Firstpage :
363
Lastpage :
368
Abstract :
Object recognition from machine vision is a complex task that has, to date, no formal method of solution. The use of brightness contours instead of edges and the corresponding contour profile diagram, or fingerprint, can provide mathematically non-intensive comparisons that can be efficiently performed in a database. More than that, this method provides a formalism which claims to be appropriate for all machine vision. This, the first of two papers, outlines the general problem, the current solution and provides preliminary results. The second paper deals in greater depth with data mining a library of known objects for matches and the final confirmation or rejection of the object identity.
Keywords :
computer vision; data mining; fingerprint identification; object recognition; brightness contours; contour profile diagram; data mining; fingerprint; image contours; machine vision; object recognition; Data mining; Fingerprint recognition; Image edge detection; Image segmentation; Libraries; Machine vision; Object recognition; Pixel; Retina; Shape; fingerprints; image contours; machine vision; object recognition;
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.2000.4804010
Filename :
4804010
Link To Document :
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