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SYSTEM AND METHOD FOR IDENTIFYING IMAGE BASED ON SINGULAR VALUE DECOMPOSITION AND FEATURE POINT

机译:基于奇异值分解和特征点的图像识别系统及方法

摘要

A system and method for identifying an image based on singular value decomposition is provided. The system includes: a feature point extracting module for extracting at least one of feature points from an input image using strength of a Gaussian curvature of each pixel from the input image; an identifier detecting module for detecting a local identifier based on SVD (singular value decomposition) for blocks adjacent to the extracted feature points; and a matching module for determining whether an image is duplicated or not by comparing the detected local identifier from the identifier detecting module with an image database storing at least one of images.
机译:提供了一种用于基于奇异值分解来识别图像的系统和方法。该系统包括:特征点提取模块,用于使用来自输入图像的每个像素的高斯曲率的强度从输入图像中提取特征点中的至少一个;以及标识符检测模块,用于基于SVD(奇异值分解)检测与提取出的特征点相邻的块的局部标识符;匹配模块,用于通过将来自标识符检测模块的检测到的本地标识符与存储图像中的至少一个的图像数据库进行比较来确定图像是否被复制。

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