Search - interest points

[Other resource] POIProcess

Description: 兴趣点POI（Point of Interests）的查询程序。可以根据条件按照最近方式搜索到POI点，如查询离某一个指定点最近的几个酒店等。程序运行于ArcGIS底层。包含有实验数据-interest points POI (Point of Interests) inquiry procedures. Under way with the recent conditions of the POI search, such as inquiries from a specified point in several recent hotel. ArcGIS runs on the bottom. Contains experimental data
Platform: | Size: 678483 | Author: fansfans | Hits:

[Other systems] POIProcess

[Special Effects] invariant_moment

Description: 摘要:提出了一种基于兴趣点不变矩(IPIM)的图像拼接技术。利用Harris 角检测器获取图像中的兴趣点,计算兴趣点邻域的平移、旋转及尺度不变矩,通过比较各兴趣点邻域不变矩的欧式距离提取出初始特征点对,根据几何变换模型剔除伪特征对,最后利用正确映射模型实现图像的拼接。实验表明,该方法对平移以及任意角度的旋转具有良好的鲁棒性,对于具有小尺度变换的图像仍然具有很好的拼接效果。-Abstract: This paper presents a point of interest based on moment invariants (IPIM) of the image stitching technology. Angle using Harris detector to obtain images in the interest of points to calculate the interest point neighborhood of the translation, rotation and scale invariant moments, by comparing the interest point neighborhood of the Continental moment invariants extracted from the initial feature points right, according to the geometric pseudo-transformation model features removed, and finally realize the use of mapping model correctly spliced images. Experiments show that the method of translation and rotation of any angle has good robustness for small-scale transformation of the image still has a good effect splicing.
Platform: | Size: 323584 | Author: xuyuhua | Hits:

[Graph Recognize] 22219011211120071115164509189959

Description: SUSAN算子用于角点检测的基本步骤： 1）对于感兴趣的每个象素点（一般的情况就是图像中的每个象素点）作用一圆模板； 2）根据亮度比较函数计算圆模板中的USAN区域； 3）根据几何阈值，计算象素点的初始响应； 4）使用USAN重心与核中心的距离法则去除伪角点，使用USAN重心与核中心的连线上的每个点都必须在USAN区域来保证算法的一致性（即USAN区域的相连性） 5）对每个象素点的响应，使用（或更大）的窗口搜索局部极大值，进行非极大值抑制 -SUSAN operator for corner detection of the basic steps: 1) For each pixel of interest points (the general situation is that each image pixel points) the role of one circle template 2) calculated according to the brightness comparison function round Usan template region 3) According to the geometric threshold, calculating the pixel-point initial response 4) the use of Usan center of gravity and nuclear center removed from the law of pseudo-corner, the use of Usan center of gravity and nuclear center to connect the each point must be in the Usan region to ensure consistency algorithm (that is linked to sexual Usan region) 5) points for each pixel in response to, the use of (or greater) of the local maxima search window for non-polar large value of inhibition
Platform: | Size: 4109312 | Author: 张妙言 | Hits:

[Special Effects] haar_src

Description: 非常好用的利用Haar小波提取目标区域的方法，可用于人脸检测，兴趣区(ROI)提取，显著点检测等-Very useful to use Haar wavelet method of extracting the target region can be used for face detection, interest area (ROI) extraction, salient points detection
Platform: | Size: 86016 | Author: haoyubao | Hits:

[Documents] MutuaInformationandinterestpoints

Description: 提出了一种优化的图像配准算法。首先把图像中的兴趣点及其角度信息提取出来，利用互信息准则，得到需要的配对点，得到两幅或多幅图像的拼接自然的完整图像, 实验表明，该算法是有效的。-An optimized image registration algorithm. First of all, the image of interest points and their point of view of information extracted, using the criteria of mutual information they need to match point, the two or multiple images of the integrity of the natural splicing images, experiments show that the method is effective.
Platform: | Size: 120832 | Author: zhangjia | Hits:

[matlab] interest-points

Description: 基于兴趣点颜色及纹理特征的图像检索算法，通过同类比较，平均检索准确率提高11个百分点。-Based on the interest points and texture features of color image retrieval algorithm, through a similar comparison, the average retrieval accuracy rate of 11 percent improve.
Platform: | Size: 1842176 | Author: jiashijie | Hits:

[matlab] affintpoints

Description: Affine spatial interest points detection using scale space analysis
Platform: | Size: 491520 | Author: Bing Ouyang | Hits:

[Special Effects] SIFTkey

Description: 由于只是利用图像的灰度信息，sl 算法不能很好地区分形状相似但颜色不同的物体：针对这一问题，提出了一种基于彩色的SIFT特征点提取算法，并着重分析了多种彩色模型对算法性能的影响?这种算法也是在图像的灰度尺度空间上检测特征点，但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算：实验结果证明了该算法的有效性。-Abstract：Because only the gray scale information is utilized．the SIFT method can’t differentiate the objects with similar shape but with diferent colors commendably．1,1 order to solve such problem．presents a color—based SIF I feature point detecting method and analyzs the method’S performance in temas of diferent color models The method detected interest points in the gray image scale space，and its eigem eetors al’e composed of the mean 、 alues of different color model components in each subregion and are computed based on the Ol。iginal color images．Tile experimental results have proved its validity
Platform: | Size: 270336 | Author: 李李 | Hits:

[Other] interestaffine

Description: This file contains some slides about interest points detection
Platform: | Size: 1503232 | Author: co2gaz | Hits:

[matlab] harris

Description: In the fields of computer vision and image analysis, the Harris-affine region detector belongs to the category of feature detection. Feature detection is a preprocessing step of several algorithms that rely on identifying characteristic points or interest points so to make correspondences between images, recognize textures, categorize objects or build panoramas.
Platform: | Size: 2048 | Author: aisso831 | Hits:

[Other] ImageRetrievalAlgorithmBasedonColorandTextureFeatu

Description: 提出一种利用兴趣点进行局部特征提取及检索的新方法。该方法利用图像中兴趣点的位置信息，提取兴趣点周围局部区域的颜色及纹理特征作为刻画图像内容的主要特征，结合兴趣点的空间分布对相似图像进行检索。对真实图像数据库的检索实验表明，该方法与其他基于兴趣点的方法相比，平均检索准确率提高了l l％，能够更准确地查找到用户所需的图像。-A point of interest for the use of local feature extraction and retrieval of the new method. The method uses the image of the location of interest points of information, points of interest around the local area extracting color and texture features describe the image content as the main features, combined with the spatial distribution of points of interest for similar image retrieval. The real image database retrieval experiments show that the method and other methods based on points of interest than the average retrieval accuracy rate by ll , to more accurately find the desired image to the user.
Platform: | Size: 176128 | Author: 宋祖波 | Hits:

[VC/MFC] Image-Recognition-Algorithm2

Description: 图像识别算法：图像识别中的兴趣点匹配方法研究！-Image recognition algorithm: image recognition, the interest points matching method!
Platform: | Size: 1276928 | Author: zhouyang | Hits:

[Special Effects] vlfeat-0.9.9.tar

Description: 这是一个著名的MATLAB/C实现的sift算法库。并且被分解成几个可以重用的M和MEX文件。这个实现产生一些关键点和描述子，和David Lowe s的实现差不多。-This is a MATLAB/C implementation of the SIFT detector and descriptor. It is customizable and features a decomposition of the algorithm in several reusable M and MEX files. This implementation produces interest points and descriptors which are very similar to David Lowe s implementation.
Platform: | Size: 2503680 | Author: 白水 | Hits:

[AI-NN-PR] hog3D

Description: HOG3D，三维情境下检测兴趣点的源码，HOG特征的论文可以很容易搜到-HOG3D, three situations of interest points detected source, HOG features can easily search to papers
Platform: | Size: 1112064 | Author: 牛虻 | Hits:

[Special Effects] Harris

Description: 研究一种红外医学图像处理与分析方法,实现红外人脸图像中特征区域的自动定位。方法针对红外正面脸部图像,采用一种无监督的局部和全局的特征提取方法,首先通过阈值法区分出前景和背景,并根据面部特征对称性在前景中确定鼻区然后在面部确定一个包含所有特征的矩形区域,利用 Harris算子在该区域检测出角点,并找出这些点的局部最大值点最后用K-means方法对这些点进行聚类 -To develop an mi age analyzing procedure forautomatic localization of facial fea- tures on infrared mi ages.M ethodsAn unsupervised localand global features extractionmethodwas adopted for the localization of facial features of frontalview face mi age. First, a thresholdwas used to segment the mi age into foreground and background, and the nose was localized by considering the symmetry of the face. Second, Harris operatorwas adopted to detect interest points in a rec- tangulararea covering allthe facial features, and then localmaxmi um of the interestpointswere de- tected. And finally, K-means clusteringmethodwas used to cluster the points and obtain the facial features localization.
Platform: | Size: 165888 | Author: 高雪 | Hits:

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