DocumentCode :
1864328
Title :
Interest point detection on incomplete images
Author :
Kerr, Dermot ; Scotney, Bryan ; Coleman, Sonya
Author_Institution :
Sch. of Comput. & Intell. Syst., Univ. of Ulster, Magee
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
817
Lastpage :
820
Abstract :
Use of incomplete image data has become a prominent research issue in recent years, driven by the development of space variant image sensors. Whilst image reconstruction techniques have been developed that enable the subsequent use of standard image processing algorithms, the development of image processing algorithms that can be applied directly to incomplete image data has received less attention. The problem of interest point detection for incomplete images is addressed by presenting an algorithm that can be applied directly to incomplete image data without the requirement of image reconstruction, and the accurate performance of the algorithm is illustrated through visual results and ROC curves.
Keywords :
feature extraction; image reconstruction; image processing; image reconstruction techniques; incomplete images; interest point detection; space variant image sensors; Computer vision; Convolution; Data mining; Detectors; Filters; Image processing; Image reconstruction; Interpolation; Pixel; Shape; Interest point extraction; incomplete data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2008.4711880
Filename :
4711880
Link To Document :
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