A point feature-based cylindrical image mosaic method

Author

Li, Xi ; Gong, Ping

Author_Institution

Coll. of Math & Comput. Sci., Hunan Normal Univ., Changsha, China

fYear

2011

fDate

26-28 July 2011

Firstpage

4780

Lastpage

4783

Abstract

A cylindrical image mosaic method based on Harris corner feature is proposed in the paper. Firstly, the sequence of photographs taken around 360 degree is projected to cylinder coordinate system, and then the Harris corners are detected by an improved Harris corner detecting algorithm. After the NCC (Normalized Cross Correlation) corner matching algorithm performed a rough match, an improved RANSAC (Random Sample Consensus) algorithm is applied twice to remove the mismatched points as far as possible to improve the correct matching ratio. Finally, the image mosaic and fusion are accomplished according to the registration result. Experiments demonstrate that the proposed algorithm has achieved a well result.

Keywords

image fusion; image matching; image registration; image segmentation; image sequences; random processes; NCC corner matching algorithm; RANSAC algorithm; cylinder coordinate system; image fusion; image registration; improved Harris corner detecting algorithm; normalized cross correlation; photograph sequence; point feature based cylindrical image mosaic method; random sample consensus; rough match; Correlation; Feature extraction; Image edge detection; Image registration; Least squares methods; Nickel; Transforms; Harris corner detecting; cylindrical image; image mosaic; image registration;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2011 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-61284-771-9

Type

conf

DOI

10.1109/ICMT.2011.6002206

Filename

6002206