Toward automatic subpixel registration of unmanned airborne vehicle images

Amr Hussein Yousef; Jiang Li; Mohammad Karim

doi:10.1117/12.918935

Translator Disclaimer

7 May 2012 Toward automatic subpixel registration of unmanned airborne vehicle images

Amr Hussein Yousef, Jiang Li, Mohammad Karim

Author Affiliations +

Proceedings Volume 8399, Visual Information Processing XXI; 839902 (2012) https://doi.org/10.1117/12.918935
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Many applications require to register images within subpixel accuracy like computer vision especially super-resolution (SR) where the estimated subpixel shifts are very crucial in the reconstruction and restoration of SR images. In our work we have an optical sensor that is mounted on an unmanned airborne vehicle (UAV) and captures a set of images that contain sufficient overlapped area required to reconstruct a SR image. Due to the wind, The UAV may encounter rotational effects such as yaw, pitch and roll which can distort the acquired as well as processed images with shear, tilt or perspective distortions. In this paper we propose a hybrid algorithm to register these UAV images within subpixel accuracy to feed them in a SR reconstruction step. Our algorithm consists of two steps. The first step uses scale invariant feature transform (SIFT) to correct the distorted images. Because the resultant images are not registered to a subpixel precision, the second step registers the images using a fast Fourier transform (FFT) based method that is both efficient and robust to moderate noise and lens optical blur. Our FFT based method reduces the dimensionality of the Fourier matrix of the cross correlation and uses a forward and backward search in order to obtain an accurate estimation of the subpixel shifts. We discuss the relation between the dimensionality reduction factors and the image shifts as well as propose criteria that can be used to optimally select these factors. Finally, we compare the results of our approach to other subpixel techniques in terms of their efficiency and computational speed.

Citation Download Citation

Amr Hussein Yousef, Jiang Li, and Mohammad Karim "Toward automatic subpixel registration of unmanned airborne vehicle images", Proc. SPIE 8399, Visual Information Processing XXI, 839902 (7 May 2012); https://doi.org/10.1117/12.918935

ACCESS THE FULL ARTICLE

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
14 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

SHARE

GET CITATION

KEYWORDS

Unmanned aerial vehicles

Image registration

Fourier transforms

Reconstruction algorithms

Error analysis

Image processing

Matrix multiplication

Show All Keywords

Keywords/Phrases

Search In:

Publication Years