Title :
Optimal Position Selection with Information Theory and Invariance for Dynamic Pattern Recognition
Author :
Nagao, Ken ; Horikawa, Y.
Author_Institution :
Kagawa Univ., Kagawa, Japan
Abstract :
This paper describes a classification method using the selection of optimal sensing positions and invariance based on the third-correlation for the recognition of observed objects among those registered in an image database.
Keywords :
image recognition; image registration; information theory; object recognition; visual databases; classification method; dynamic pattern recognition; image database; image registration; information theory; observed object recognition; optimal sensing position selection; Cameras; Correlation; Image databases; Image recognition; Lattices; Object recognition; Sensors; Active object recognition; information theory; invariance based on the third-order correlation;
Conference_Titel :
Biometrics and Kansei Engineering (ICBAKE), 2011 International Conference on
Conference_Location :
Takamatsu, Kagawa
Print_ISBN :
978-1-4577-1356-9
Electronic_ISBN :
978-0-7695-4512-7
DOI :
10.1109/ICBAKE.2011.45
