标题：Cost aggregation strategy with bilateral filter based on multi-scale nonlinear structure tensor
作者：Li, Li ;Yan, Hua
作者机构：[Li, Li ;Yan, Hua ] School of Computer Science and Technology, Shandong Provincial Key Laboratory of Digital Media Technology, Shandong Economic Unive 更多
会议名称：2011 International Workshop on Computer Science for Environmental Engineering and EcoInformatics, CSEEE 2011
会议日期：29 July 2011 through 31 July 2011
来源：Communications in Computer and Information Science
关键词：Bilateral filter; Cost aggregation; Log- Euclidean distance; Multi-Scale nonlinear structure tensor
摘要：This paper proposed a novel cost aggregation method with modified bilateral filter. By smoothing each element of the structure tensor considering both the spatial and gradient distances of neighboring pixels, the nonlinear structure tensor for each pixel is constructed. We adopt the Log-Euclidean calculus as tensor dissimilarity function to compute the structure tensor distance of two considering pixels. Then the multi-scale value is computed by summing of the tensor distances in each scale. So a new weight basing on multi-scale structure tensor distance is set up and included in bilateral filter for cost aggregation. By adding the new weight in cost aggregation, more pixels similar with central pixel could be aggregated in a support window and the final disparity map could be more accurate. Experimental results have confirmed the effectiveness of our proposed method. © 2011 Springer-Verlag Berlin Heidelberg.