Contourlet Based Interest Points Detector

机译：基于Contourlet的兴趣点检测器

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This paper proposes a robust algorithm for detecting interest points based on the NonsubSampled Contourlet Transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermore, NSCT is very efficient in extracting the geometric information of images and therefore it has very good feature localization. The NSCT-based point detector is compared to the widely used Harris and Difference of Gaussian (DoG) interest point detectors. The experimental results reveal the robustness of the proposed algorithm to rotation, scale and viewpoint changes.

机译：本文提出了一种稳健的算法，用于检测基于非非法采样的Contourlet变换（NSCT）的兴趣点。 NSCT为多尺度分解，每个比例的方向滤波器都提供了多尺度分解。此外，NSCT在提取图像的几何信息时非常有效，因此它具有非常好的特征定位。将基于NSCT的点检测器与广泛使用的HARRIS和高斯（狗）兴趣点探测器的差异进行比较。实验结果揭示了所提出的算法旋转，尺度和视点变化的鲁棒性。

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《International Conference on Tools with Artificial Intelligence》|2008年||共5页
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中图分类 TP18-53;
关键词
Interest point detection; corner detector; local features; nonsubsampled contourlet transform (NSCT);

机译：兴趣点检测;角探测器;本地特征;非法采样的轮廓变换（NSCT）;

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Contourlet Based Interest Points Detector

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