A robust image registration algorithm used for panoramic image mosaic

Author

Gao Bo ; Jianzhong Cao ; Zuofeng Zhou ; Enshi Qu ; Wang Hua ; Huinan Guo

Author_Institution

Xi´an Inst. of Opt. & Precision Mech., Xi´an, China

fYear

2012

fDate

9-11 Nov. 2012

Firstpage

1

Lastpage

4

Abstract

The panoramic image has been widely used in social production, and has become an important topic in research on the field of image processing. For complex images with multiple scenes and other elements, the algorithm that is based on Harris cannot make image registration effectively. This paper proposes a method that combines Harris with SIFT, using the Harris algorithm with adaptive threshold to extract the corners and the SIFT descriptor to make the registration. It improved registration efficiency sub-effectively for the image in complex scenes, and generated a 360-degree panoramic image quickly. The experiments showed that the algorithm is adaptable and robust.

Keywords

feature extraction; image registration; image segmentation; Harris algorithm; SIFT descriptor; corner extraction; image processing; image registration algorithm; panoramic image mosaic; scale-invariant feature transform; Algorithm design and analysis; Feature extraction; Histograms; Image registration; Robustness; Signal processing algorithms; Vectors; Adaptive Harris corners; SIFT descriptor; cylindrical projection; panoramic images;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing (IASP), 2012 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-2547-9

Type

conf

DOI

10.1109/IASP.2012.6425046

Filename

6425046