Image registration based on KLT feature tracker in image mosaicing application

Author

Zhilong, Shu ; Qiuqi, Ruan

Author_Institution

Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China

Volume

2

fYear

2000

fDate

2000

Firstpage

1143

Abstract

Image mosaicing has many applications, such as generating panoramas, video surveillance, MPEG-4 encoding, image based rendering, etc. The critical technique of image mosaicing is image registration. In this paper a new, efficient and robust method based on phase correlation and KLT feature tracker is developed for image registration and applied in image mosaicing. The KLT feature tracker refines the result of phase correlation and gives a better initial value for the Levenberg-Marquard (L-M) algorithm, so a global optimal solution can be obtained

Keywords

Karhunen-Loeve transforms; correlation methods; feature extraction; image registration; image segmentation; KLT feature tracker; L-M algorithm; Levenberg-Marquard algorithm; MPEG-4 encoding; efficient method; image based rendering; image mosaicing; image registration; optimal solution; panorama generation; phase correlation; robust method; video surveillance; Fourier transforms; Image coding; Image registration; Information science; Karhunen-Loeve transforms; MPEG 4 Standard; Phase noise; Rendering (computer graphics); Robustness; Video surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.891743

Filename

891743