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
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;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location :
Beijing
DOI :
10.1109/IIH-MSP.2013.59
