%0 Journal Article
%T An Interest Point Detector Based on Polynomial Local Orientation Tensor<br>基于多项扩展式局部方向张量的兴趣点检测算子
%A LIN Rui
%A WANG Wei-Dong
%A DU Zhi-Jiang
%A SUN Li-Ning
%A <br>林睿
%A 王伟东
%A 杜志江
%A 孙立宁
%J 自动化学报
%D 2012
%I 
%X In this paper, aiming at application of vision-based mobile robot navigation, we present a novel method for detecting scale and rotation invariant interest points, coined polynomial local orientation tensor (PLOT). Our detector is based on the local orientation tensor, which is constructed from the polynomial expansion of the image signal. We first analyze the properties of the local orientation tensor of PLOT, and select a suitable tuning parameter to make the local orientation tensor extract invariant features. Automatic scale selection is also used in the computation of the local orientation tensor and the characteristic scale is selected to attain scale invariant features. Then, the true interest points are detected by the small eigenvalues of the orientation tensor. We evaluate the performance of our detector on the repeatability criteria and compare it with other existing approaches. Experimental results for PLOT show strong performance in different rotations, with varying scale changes and illumination changes in the real-world conditions.
%K Interest point detector
%K scale invariant
%K rotation invariant
%K polynomial local orientation tensor (PLOT)<br>兴趣点检测算子
%K 尺度不变
%K 旋转不变
%K 局部方向张量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=BC10CD3F59E055E2A7E423F51014098D&yid=99E9153A83D4CB11&vid=16D8618C6164A3ED&iid=DF92D298D3FF1E6E&sid=05FAA4D00F9315BD&eid=53A4507B400B4E65&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=33