Real-time image registration

Author

Gevrekci, L. Murat ; Demirçin, M. Umut ; Akagündüz, Erdem

Author_Institution

Goruntu Isleme Mudurlugu, ASELSAN, Ankara, Turkey

fYear

2012

fDate

18-20 April 2012

Firstpage

1

Lastpage

4

Abstract

This paper summarizes the developed real-time algorithm for registering subsequent video frames and experiments performed on an embedded processor. The features extracted from subsequent frames are matched using a RANSAC technique and frames are registered with an affine transformation model. The techniques used in the literature are improved to work in real-time and a system that can register 320×240 resolution images at approximately 40 frames per second is developed. Experiments are performed on a BeagleBoard-XM single board computer that contains ARM and DSP processor cores.

Keywords

embedded systems; feature extraction; image registration; microprocessor chips; ARM processor cores; BeagleBoard-XM single board computer; DSP processor cores; RANSAC technique; affine transformation model; embedded processor; feature extraction; real-time algorithm; real-time image registration; video frames; Abstracts; Computational modeling; Detectors; Digital signal processing; Feature extraction; Gold; Image registration;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2012 20th

Conference_Location

Mugla

Print_ISBN

978-1-4673-0055-1

Electronic_ISBN

978-1-4673-0054-4

Type

conf

DOI

10.1109/SIU.2012.6204585

Filename

6204585