DocumentCode
691978
Title
An Improved SIFT Algorithm Based on FAST Corner Detection
Author
Wu Lifang ; Gao Yuan ; Zhang Jingwen
Author_Institution
Coll. of Electron. Inf. & Controll Eng., Beijing Univ. of Technol., Beijing, China
fYear
2013
fDate
16-18 Oct. 2013
Firstpage
202
Lastpage
205
Abstract
In this paper, we propose an improved SIFT algorithm based on FAST corner detection. We first estimate the level of the pyramid by the size of the image. Then, at each level, we estimate the threshold by the image content. By the threshold, we implement the FAST corner detection. At each level, the FAST corner detection, generation of SIFT descriptors and coordinate mapping are implemented by Wagner´s idea. The experimental results show that our proposed algorithm has the similar matching performance and runs faster.
Keywords
edge detection; image matching; image segmentation; transforms; FAST corner detection; SIFT algorithm; SIFT descriptor generation; Wagner-idea; coordinate mapping; image content; image matching performance; image size; pyramid level estimation; threshold estimation; Computer vision; Computers; Educational institutions; Feature extraction; Pattern recognition; Robustness; Signal processing algorithms; FAST corner detection; Image matching; SIFT descriptor;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/IIH-MSP.2013.59
Filename
6846615
Link To Document