%0 Journal Article
%T Automatic and accurate image completion from a large displacement view<br>利用大位移视图的自动可信图像修补
%A Liu Chunxiao
%A Jin Jianqiu
%A Peng Qunsheng
%A <br>刘春晓
%A 金剑秋
%A 彭群生
%J 中国图象图形学报
%D 2013
%I 
%X In order to achieve accurate automatic image reparation, we propose a new framework for image completion based on the large displacement view(LDV)image. First, we extract the evenly distributed and quasi-dense feature-point correspondences between the target image and the LDV image by combining multiple distinct feature detectors in a complementary way. Inspired by the prior model and model fitting problem, we then devise a quasi-planar scene-regions(QPSRs)clustering algorithm, which classifies the feature point correspondences and represents a natural scene image with multiple QPSRs to remove the perspective distortions in the LDV image. Inspired by the texture synthesis and image stitching techniques, we finally present a QPSRs compositing algorithm, which corrects and stitches the re-projected QPSRs images to fill in the missing areas on the target image. Our experimental results are comparable with the ground-truth.
%K image completion
%K large displacement view
%K quasi-planar scene regions
%K clustering
%K compositing<br>图像修补
%K 大位移视图
%K 准平面场景区域
%K 聚类
%K 合成
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=2C0F2EE71B46795F04F2F532EB837792&yid=FF7AA908D58E97FA&vid=13553B2D12F347E8&iid=38B194292C032A66&sid=381FB4265090A8E0&eid=FA88DCCE84EA0A56&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=23