DocumentCode
3027976
Title
CH-SIFT: A local kernel color histogram SIFT based descriptor
Author
Jalilvand, Ali ; Boroujeni, Hamidreza Shayegh ; Charkari, Masrollah Moghadam
Author_Institution
Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
fYear
2011
fDate
26-28 July 2011
Firstpage
6269
Lastpage
6272
Abstract
This paper presents a novel method for extracting distinctive invariant features from color images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, and also to illumination changes because of using a color kernel histogram descriptor incorporating with a classic SIFT descriptor. The method is compared with SIFT, SURF and CSIFT and is shown that the accuracy of proposed method is better than others by testing all of them on the ALOI database.
Keywords
feature extraction; image colour analysis; image matching; ALOI database; CH-SIFT descriptor; color image; feature extraction; illumination change; image rotation; image scale; local kernel color histogram descriptor; object matching; scene matching; Color; Colored noise; Detectors; Feature extraction; Histograms; Image color analysis; Kernel; SIFT descriptor; color image matching; key point matching; local kernel hostogram;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6001949
Filename
6001949
Link To Document