DocumentCode
2472374
Title
Harris feature vector descriptor (HFVD)
Author
Wang, X.G. ; Wu, F.C. ; Wang, Z.H.
Author_Institution
Inst. of Autom., Chinese Acad. of Sci., China
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
A new image feature called Harris feature vector is defined in this paper, which effectively describes the image gradient distribution. By computing the mean and the standard deviation of the Harris feature vector in key point neighborhood, a novel descriptor for key points matching is constructed, which is invariant to image rigid transformation and linear intensity change. Experimental evidence suggests that the novel descriptor has a good adaptability to slight view point changing, JPEG compression as well as nonlinear change of intensity.
Keywords
feature extraction; image matching; statistical analysis; Harris feature vector descriptor; image feature detector; image gradient distribution; image matching; image rigid transformation; standard deviation; Automation; Computer vision; Equations; Filters; Hafnium; Image coding; Image recognition; Image registration; Transform coding; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4760977
Filename
4760977
Link To Document