电子学报Issue(2)：242-247,6.DOI:10.3969/j.issn.0372-2112.2015.02.006
加权 SIFT 流深度迁移的单幅图像2D 转3D
Single Image 2D-to-3D Conversion via Weighted SIFT Flow
摘要
Abstract
2D-to-3Dconversionisoneoftheimportantwaystoalleviatethelackof3Dcontent,inwhichthekeytechnique is depth estimation from a single image .A depth extraction method based on weighted SIFT flow depth transferring and energy mod-el optimization is proposed .First ,k-nearest neighbor images were retrieved by evaluating the global image descriptors between the target image and the images from the RGBD database .Then ,pixels of the target image and pixels of its neighbors in the database were matched using SIFT flow ,which also generated matching errors used to determine the transferring weights of the neighbors . Next ,depth maps of neighboring images were transferred to the target image according to the pixel matching and the transferring weights .The final depth map was obtained by depth refinement based on an energy model .Experimental results show that our scheme can significantly reduce the average relative error and improve the uniformity of the depth map .关键词
2D转3D/尺度不变特征变换流/深度估计/深度图优化/能量模型Key words
2D-to-3Dconversion/scaleinvariantfeaturetransformflow/depthestimation/depthmaprefinement/energy model分类
信息技术与安全科学引用本文复制引用
袁红星,吴少群,朱仁祥,安鹏..加权 SIFT 流深度迁移的单幅图像2D 转3D[J].电子学报,2015,(2):242-247,6.基金项目
国家自然科学基金（No ．61071173）；浙江省自然科学基金（No ．LY12F01001，No ．Y1100253）；宁波市自然科学基金（No ．2012A610043， No ．2012A610111，No ．2011A610186）；浙江省教育厅科研项目 （）
