DocumentCode :
2530049
Title :
Hausdorff Metric based Feature Extractor
Author :
Sarma, R. Raghunath ; Sudhir, V. ; Sreedharan, K.S. ; Rao, G. V Prabhakar
Author_Institution :
Sri Sathya Sai Inst. of Higher Learning, Prasanthinilayam
fYear :
2008
fDate :
19-21 Nov. 2008
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we propose a new template based feature extractor called Hausdorff Metric Feature Extractor (HMFE). This feature extractor makes use of Hausdorff distance metric for calculating the corner strength. The working of HMFE is justified using the concept of derivatives and gradients. We have also analysed the performance of HMFE under the five criteria: detection, localisation, repeatability, complexity and sensitivity to noise. The performance of HMFE is comparable with Harris and KLT and in some cases it even outperformed them. We have also extended HMFE for colour domain- CHMFE.
Keywords :
feature extraction; image colour analysis; HMFE; Hausdorff metric feature extractor; colour domain; distance metric; Colored noise; Detectors; Educational institutions; Face recognition; Feature extraction; Image coding; Karhunen-Loeve transforms; Performance analysis; Pixel; Robustness; Hausdorff distance; directional derivative; feature extraction; feature template;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2008 - 2008 IEEE Region 10 Conference
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4244-2408-5
Electronic_ISBN :
978-1-4244-2409-2
Type :
conf
DOI :
10.1109/TENCON.2008.4766702
Filename :
4766702
Link To Document :
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