Title :
A High-Precision Localization Algorithm by Improved SIFT Key-Points
Author :
Yang, Yang ; Song, Yixu ; Zhai, Fangwen ; Fan, Zhaozhou ; Meng, Yue ; Wang, Jiaxin
Author_Institution :
Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
Abstract :
High-precision localization is getting more and more dependent on computer vision techniques. In this paper a novel high-precision localization algorithm based on improved SIFT (Scale Invariant Feature Transform) key-points is presented. First considering the drawback of original SIFT algorithm and the special application background, the proposed algorithm improves the SIFT key-point description and discards the most time-consuming step of SIFT algorithm. Then the new matching strategy and localization strategy are investigated to ensure the stability and precision of localization. Compared with conventional localization algorithm by SIFT key-point, this algorithm increases computation efficiency for about 20% and makes the precision more stable, which reaches 0.1 pixel.
Keywords :
computer vision; scaling phenomena; SIFT key-points; computer vision; high-precision localization algorithm; scale invariant feature transform; Application software; Bonding; Computer science; Computer vision; Feature extraction; Fourier transforms; Information science; Laboratories; Least squares methods; Pixel;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5303161
