%0 Journal Article
%T Structure recovery algorithm using contextual information<br>融合上下文信息的场景结构恢复
%A Wu Hui
%A Yu Xin
%A Sui Yao
%A Zhang Li
%A <br>武晖
%A 于昕
%A 隋尧
%A 张利
%J 中国图象图形学报
%D 2012
%I 
%X A two-level algorithm that is integrating contextual information to recover the structure of a single image is presented. Due to the structural features of outdoor scenes, we can classify the structure of a scene into three categories: sky, ground, and vertical objects. First, we over-segment the image into homogeneous regions. Then, we recognize the regions with significant features as "definite regions", and the regions we can not classify as "undetermined regions". Next, every nearby definite region with similar features as the undetermined region will vote for an undetermined region. The class with the most votes is assigned to that undetermined region. Finally, we construct a 3D model of the scene. Experiments show that due to the exploitation of the contextual information, almost 92.3% of the pixels can be recovered successfully, which is better than the performance of the existing method, whose result is 88.1%.
%K scene understanding
%K pattern recognition
%K image segmentation
%K contextual information<br>场景理解
%K 模式识别
%K 图像分割
%K 上下文信息
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=804D8F4691AB785660A178EFE5EC0145&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=DF92D298D3FF1E6E&sid=C990359CEBD48A9E&eid=450524CAAD043961&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=17