Signal Processing and Communications Group, University of Cambridge, Cambridge CB21TN, UK.
IEEE Trans Image Process. 2011 Mar;20(3):814-21. doi: 10.1109/TIP.2010.2069711. Epub 2010 Aug 26.
Polar matching is a recently developed shift and rotation invariant object detection method that is based upon dual-tree complex wavelet transforms or equivalent multiscale directional filterbanks. It can be used to facilitate both keypoint matching, neighborhood search detection, or detection and tracking with particle filters. The theory is extended here to incorporate an allowance for local spatial and dilation perturbations. With experiments, we demonstrate that the robustness of the polar matching method is strengthened at modest computational cost.
极线匹配是一种最近发展起来的平移和旋转不变目标检测方法，它基于复双树小波变换或等效的多尺度方向滤波器组。它可用于促进关键点匹配、邻域搜索检测，或使用粒子滤波器进行检测和跟踪。本文将该理论扩展到允许局部空间和膨胀扰动。通过实验，我们证明了极线匹配方法在适度的计算成本下，其稳健性得到了增强。
