DocumentCode
327808
Title
View-based object recognition using image lines
Author
De Vel, Olivier ; Aeberhard, Stefan
Author_Institution
Dept. of Comput. Sci., James Cook Univ. of North Queensland, Townsville, Qld., Australia
Volume
1
fYear
1998
fDate
16-20 Aug 1998
Firstpage
805
Abstract
View-based recognition is a simple, relatively robust method for object recognition. Current techniques use small, simplistic object databases requiring, in many cases, large processing training and/or recognition times. We propose an extension to the view-based object recognition paradigm using lines of 2D image views together with a k-NN classifier that achieves high generalisation recognition rates with reduced computational times compared with other more elaborate recognition algorithms
Keywords
image classification; object recognition; 2D image views; generalisation recognition rates; image lines; k-NN classifier; simplistic object databases; view-based object recognition; Computer science; Electrical capacitance tomography; Image recognition; Layout; Mathematics; Object recognition; Physics; Solid modeling; Spatial databases; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711270
Filename
711270
Link To Document