For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Kernel Based Image Registration Incorporating with Both Feature and Intensity Matching
Quan MIAO Guijin WANG Xinggang LIN
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/05/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
image registration, kernel function, illumination change, occlusion, noise,
Full Text: PDF(640.5KB)>>
Image sequence registration has attracted increasing attention due to its significance in image processing and computer vision. In this paper, we put forward a new kernel based image registration approach, combining both feature-based and intensity-based methods. The proposed algorithm consists of two steps. The first step utilizes feature points to roughly estimate a motion parameter between successive frames; the second step applies our kernel based idea to align all the frames to the reference frame (typically the first frame). Experimental results using both synthetic and real image sequences demonstrate that our approach can automatically register all the image frames and be robust against illumination change, occlusion and image noise.