DocumentCode
3063095
Title
SIFT-based object recognition with fast alphabet creation and reduced curse of dimensionality
Author
Stommel, Martin ; Herzog, Otthein
Author_Institution
TZI Center for Comput. & Commun. Technol., Univ. Bremen, Bremen, Germany
fYear
2009
fDate
23-25 Nov. 2009
Firstpage
136
Lastpage
141
Abstract
This article presents a SIFT-based object recognition method that avoids the typical problems of time-consuming code-book generation and curse of dimensionality in feature comparison. The first problem is solved by using an alphabet of completely synthetic feature vectors. The second problem is solved by using the Hamming-distance on binarised SIFT-features. The method is supported by competitive results on the Graz´02 image data base.
Keywords
Hamming codes; feature extraction; image coding; object recognition; Hamming-distance; SIFT-based object recognition; fast alphabet creation; time-consuming code-book generation; Books; Boosting; Clustering methods; Communications technology; Computational efficiency; Computer vision; Histograms; Image processing; Object recognition; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Vision Computing New Zealand, 2009. IVCNZ '09. 24th International Conference
Conference_Location
Wellington
ISSN
2151-2205
Print_ISBN
978-1-4244-4697-1
Electronic_ISBN
2151-2205
Type
conf
DOI
10.1109/IVCNZ.2009.5378422
Filename
5378422
Link To Document