Abstract: This paper proposes a method about image correspondence based on a speed robust feature descriptor.This relies on integral images and Fast-Hessian detector to extract interest points.For each feature point，the dominant orientation is assigned by computing Haar-wavelet responses.Based on these orientations constructing a window around the feature point，the feature points are decrypted by the sum of Haar-wavelet responses on the domination orientation and the verticality.Image correspondences are made based on distance between these descriptors.

摘要： 基于一种快速鲁棒特征描述子进行图像特征点之间的匹配。此方法基于积分图像，使用快速Hessian检测子来提取图像特征点。对每个特征点，通过计算Haar小波，来寻找它的主方向。然后构造窗口区域，以主方向和与主方向垂直的方向上的小波和来描述特征点。最后以特征描述向量的距离为标准寻找不同图像之间的特征匹配。