Panoramic Image Stitching Using ASIFT

Author

Chu Bin ; Jiang Dalin

Author_Institution

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

fYear

2012

fDate

2-4 Nov. 2012

Firstpage

216

Lastpage

219

Abstract

This paper concerns the problem of automated panoramic image stitching. Though the rotation and zoom are studied, the quantity of extracted features limit the result. Previous approaches have used human input to establish matching images. In this work, we use ASIFT features to find matches between images. Because of this our method is insensitive to the transition and noise images, we can achieve more accurate achievement.

Keywords

affine transforms; feature extraction; image matching; ASIFT features; affine scale-invariant feature transform; automated panoramic image stitching; feature extraction; image matching; image rotation; image zooming; Cameras; Control engineering; Educational institutions; Feature extraction; Image sequences; Optical imaging; Reliability; ASIFT; rotation; stitching; zoom;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-3093-0

Type

conf

DOI

10.1109/MINES.2012.153

Filename

6405665

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2872932