%0 Journal Article
%T Depth estimation algorithm from monocular image based on LLOM<br>基于LLOM的单目图像深度图估计算法
%A DENG Xiao-ling
%A NI Jiang-qun
%A DAI Fen
%A LI Zhen
%A <br>邓小玲
%A 倪江群
%A 代　芬
%A 李　震
%J 计算机应用研究
%D 2012
%I 
%X The key work of this paper was to estimate the scene depth for a single monocular image based on machine learning algorithm. Under the direction of semantic labels, an improved ASSOM algorithm named LLOMlocally liear online mapping to depth estimation first time to learn the manifold of high dimension feature vectors, including absolute depth feature, relative depth feature and position feature. The experiments show that proposed method can obtain an acceptable result, especially for those blocks with gradual change of depth. This algorithm provides a new possibility to estimate depth from a single image.
%K depth estimation
%K monocular images
%K semantic label
%K manifold learning<br>深度估计
%K 单目图像
%K 语义标注
%K 流形学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8EA8CD0D0F3BCBFB114C44FA5BC6CDEE&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=E2F6E79C0C683E3C&eid=F6F86114AE352794&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10