%0 Journal Article
%T Overview of tensor valued images interpolation technology<br>张量值图像插值方法综述
%A Shao Yu
%A Liu Ying
%A Sun Fuchun
%A <br>邵宇
%A 刘莹
%A 孙富春
%J 中国图象图形学报
%D 2012
%I 
%X Many tasks in image processing,computer vision and computer graphics require image interpolation or resampling in order to obtain data at locations that do not coincide with the grid points where the digital image values are known. While image interpolation is fairly well understood for scalar images,not much research has been done so far with respect to the interpolation of tensor fields. In this paper,we present a systematic review of the current research status regarding tensor valued image interpolation. Existing approaches of tensor valued image interpolation are fully analyzed and categorized according to their mathematical framework. First,the drawbacks of tensor calculation under the Euclidean framework are pointed out. Then,the transition of research efforts from under Euclidean framework towards under the Riemannian framework are sorted out. After that,different evaluation metrics of tensor field interpolation methods are compared. Finally,future research directions are discussed.
%K tensor valued images
%K interpolation method
%K Riemannian metric
%K tensor component<br>张量值图像
%K 插值方法
%K 黎曼度量框架
%K 张量分量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=5B7C7E7B3FC348D3126BA7A29834BB06&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=F3090AE9B60B7ED1&sid=839CF8520FE9DA44&eid=C698B4DF5D56174F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=56