阅读说明：本技术 一种筛选局部特征点的方法及装置 (Method and device for screening local feature points ) 是由 林天鹏 占云龙 左韶军 赵强 王林召 于 2018-06-13 设计创作，主要内容包括：本申请实施例提供一种筛选局部特征点的方法及装置,涉及图像处理领域,用于解决现有技术中筛选出的局部特征点在图像中分布比较集中且误差较大的问题。该方法包括：确定第一帧图像中每个网格所包含的局部特征点；利用第二帧图像中每个网格的局部特征点的信息分别对第一帧图像中处于相同位置的网格所包含的局部特征点进行筛选,以得到第一帧图像中每个网格保留的局部特征点,其中,第二帧图像为第一帧图像的上一帧图像,第一帧图像和第二帧图像的尺寸相同,第一帧图像和第二帧图像中处于相同位置的网格一一对应；根据第一帧图像中每个网格中保留的局部特征点的信息确定待输出的局部特征点。(The embodiment of the application provides a method and a device for screening local feature points, relates to the field of image processing, and is used for solving the problems that the local feature points screened in the prior art are distributed in an image more intensively and have larger errors. The method comprises the following steps: determining local feature points contained in each grid in the first frame image; respectively screening local feature points contained in grids at the same position in a first frame image by using the information of the local feature points of each grid in a second frame image to obtain local feature points reserved in each grid in the first frame image, wherein the second frame image is a previous frame image of the first frame image, the first frame image and the second frame image have the same size, and the grids at the same position in the first frame image and the second frame image are in one-to-one correspondence; and determining local feature points to be output according to the information of the local feature points reserved in each grid in the first frame of image.)