Performance Evaluation of Point-Based Image Descriptors

Author

Sundaram, Suresh ; Yong-Hwan Lee ; Youngseop Kim ; Je-Ho Park ; Han-Sang Cho

Author_Institution

Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore

fYear

2014

fDate

6-9 May 2014

Firstpage

1

Lastpage

2

Abstract

Since feature extraction not only plays a key role, but also have a great effect on image analysis and registration. In this paper, we evaluate a comparative performance of three point feature extraction algorithm such as SIFT, SURF and BRISK. The experimental results show that SURF exhibited a better significant results on extracting point features and matching time, compared to SIFT and BRISK. The objective of this research is to provide a decision support which one should be chosen and acceptable among point-based image descriptors in the industrial field.

Keywords

feature extraction; image matching; image registration; transforms; BRISK; SIFT; SURF; comparative performance evaluation; decision support; image analysis; image registration; matching time; point-based image descriptors; three point feature extraction algorithm; Algorithm design and analysis; Computer vision; Educational institutions; Feature extraction; Image matching; Performance evaluation; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Applications (ICISA), 2014 International Conference on

Conference_Location

Seoul

Print_ISBN

978-1-4799-4443-9

Type

conf

DOI

10.1109/ICISA.2014.6847445

Filename

6847445