Description: 本程序实现了基于内容的图像检索功能,也就是说如何根据图像的内容从多媒体数据库中索引或发现匹配的图像,所用的方法是傅立叶变换,小波变换等技术.-the program content-based image retrieval functions, in other words how images from the multimedia database indexing or find matching images, the methodology used is the Fourier transform, wavelet technology. Platform: |
Size: 20775 |
Author:陈建文 |
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Description: 本程序实现了基于内容的图像检索功能,也就是说如何根据图像的内容从多媒体数据库中索引或发现匹配的图像,所用的方法是傅立叶变换,小波变换等技术.-the program content-based image retrieval functions, in other words how images from the multimedia database indexing or find matching images, the methodology used is the Fourier transform, wavelet technology. Platform: |
Size: 20480 |
Author:陈建文 |
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Description: A method to detect new objects in a scene by
comparing an input query image and a movie database captured beforehand is proposed.
Our method is based on both feature point matching and edge matching. First, we select the most matched movie from the movie
database based on the number of matched feature points. In addition,
we can get unmatched points in the query by excluding the matched points from all the extracted feature points in the query. Next, the most matched frame is selected from the most matched movie. It has the most
matched points with an input query image. Canny edge detector is applied
to both the query and the most matched frame in order to find unmatched edges. By merging the results of unmatched points and unmatched
edges, new objects will be detected. Our method can be applied to various scenes such as indoor and outdoor. In experimental results, we represent that our proposed method achieves change detection in various scenes. Platform: |
Size: 4935680 |
Author:yangwei |
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Description: 计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸
特征提取方法。-Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method. Platform: |
Size: 224256 |
Author:Highjoe |
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Description: this the source code for pixel value difference-this is the source code for pixel value difference Platform: |
Size: 4990976 |
Author:ramya |
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Search - FIND MATCHING IMAGE FROM DATABASE