Video Image Mosaics in Real-Time Based on SIFT

Author

Ping, Yang ; Zheng, Mao ; Anjie, Gao ; Feng, Qi

Author_Institution

Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China

fYear

2010

fDate

17-19 Sept. 2010

Firstpage

879

Lastpage

882

Abstract

This paper proposes the method of video image mosaics in real-time based on Scale Invariant Feature Transform (SIFT) algorithm. The real-time processing is great significant for the video image mosaics. SIFT is the efficient method for extracting distinctive invariant features from images. But it costs so much computation time that it can´t meet the real-time processing demand. Therefore, an improved SIFT approach is proposed in this paper to accelerate its execution. The result shows that the method is validated and meets the real-time processing computation demand.

Keywords

feature extraction; image segmentation; transforms; video signal processing; feature extraction; real time processing computation demand; scale invariant feature transform algorithm; video image mosaics; Algorithm design and analysis; Feature extraction; Kernel; Pixel; Real time systems; Robustness; Streaming media; SIFT; image matching; scale invariance; video image mosaics;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-8043-2

Electronic_ISBN

978-0-7695-4180-8

Type

conf

DOI

10.1109/PCSPA.2010.217

Filename

5635827