Title :
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
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;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6002206
