Image Mosaic based on Kernel Regression
Image mosaic technology mergers two over-lapping images into a seamless mosaic image. Classical parametric methods have been widely used to get mosaic pictures and show well effects. However, traditional parametric methods are highly rely on specific model and need a certain assumption, so in practice only can be used to a narrower aspect In contrast with parametric methods, nonparametric method rely on the data itself, and due to its minimal assumption made on these data, nonparametric method is supposed to be applicable to wider problems than parametric methods. A new image mosaic method based on nonparametric method, say, kernel regression, is proposed, and experiments are presented which demonstrate the effectiveness of this method.
image mosaic nonparametric method kernel regression
Xie Kai Liu Wei
College of information & mechanical engineering Beijing Institute of Graphic Communication Beijing, China
国际会议
太原
英文
194-197
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）