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