An improved SIFT algorithm for image feature-matching

Author

Chen, Wenyu ; Zhao, Yanli ; Xie, Wenzhi ; Sang, Nan

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2011

fDate

26-28 July 2011

Firstpage

197

Lastpage

200

Abstract

SIFT algorithm has strong robustness and stability, which can be applied in many bad conditions to achieve high recognition rate. The 128-dimensional feature descriptor has good independence. However, it also contains redundant information, which makes the calculation amount of following matching increase. An improved SIFT algorithm is proposed to solve the disadvantages of large computation and not meet "real time" of the original one, which reduces the dimension of the feature vector and reduces the mismatching of SIFT algorithm. It has been proved from the experiment that the improved algorithm can significantly increase running speed and guarantee the robustness. Besides, it can meet "real-time" requirements.

Keywords

feature extraction; image matching; image recognition; 128-dimensional feature descriptor; feature vector; image feature matching; image recognition; improved SIFT algorithm; stability; Accuracy; Algorithm design and analysis; Feature extraction; Histograms; Real time systems; Robustness; Signal processing algorithms; SIFT algorithm; dimension; real-time; robustness;

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.2011.6003022

Filename

6003022