Description: The given data base is the brain images database to apply brain tumor detection algorithms which are normally based on symmetric axis.As all images are based on symmetry this database is highly useful those who are working on symmetry axis Platform: |
Size: 988160 |
Author:nilesh |
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Description: sbsida 斜对称面检测在二次曲面体中的应用.-Oblique plane of symmetry detection in the second application of the body surface. Platform: |
Size: 720896 |
Author:acbreg |
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Description: 基于对称性的车辆识别检测的论文，论文介绍了很多的不同的关于对称性的方法，还有一些研究生毕业论文，值得参看-Based on the symmetry of the detection of vehicle identification papers, the paper introduces a lot of different methods on the symmetry, there are some graduate thesis, worth to see Platform: |
Size: 7513088 |
Author:王磊 |
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Description: 鉴于棋盘格图案在摄像机标定中有着广泛的应用,因此为了对边缘模糊的棋盘格图像进行在线标定,针
对目前棋盘格图像角点检测算法的局限性,提出了一种可以自动实现的棋盘格图像角点检测算法, 该算法是利用
周围图案对称和灰度值对比明显的独特性质,设计了由对称算子S和方差算子V组合而成的角点检测算子) )) 对
称方差算子( symmetry andvariance), 简称SV算子。该算子不仅构思巧妙、易于实现、计算量小,而且对棋盘格图像
的旋转变换和亮度变换具有鲁棒性和抗噪能力强的优点。实验结果表明, 该算子对边缘模糊有良好的适应性,适
用于摄像机的在线标定。-X-corner patterns are most widely used in camera calibration. In order to do online calibration for blurred
image, we propose a new algorithm for X-corner detection basedon the special character of X-corners: the pattern is
symmetricalandthegray contrast greatywitheachother Inthe algorithmthe operator SV isdesignedto recognizeX-corners
whichconsistsof symmetry operatorSandvarianceoperatorV. Themethodissmart, easy toexecuteandrobust to rotation,
intensity change. It isalso robust to imagenoiseandedgeblurwhere the interventionofmanisnot required. Experimental
results showthat the proposedalgorithmcanachieve excellent effects inX-cornersdetecting. inonline camera calibration.
Keywords X-corners, corner detecting, edge blur, camera calibration, Harrisdetector Platform: |
Size: 2659328 |
Author:Ivan |
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Description: 该程序是一个用C#编写的一个基于对称SIFT检测的人脸识别界面，供大伙学习使用-The program is written in a C# based on the detection of symmetry SIFT recognition interface for everyone to use Platform: |
Size: 47104 |
Author:杨辉 |
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Description: This paper presents a novel approach for detecting vehicles for driver assistance. Assuming flat
roads, vanishing point is first estimated using Hough transform space to reduce the
computational complexity. Localization of vehicles is carried using horizontal projection on the
horizontal gradient image below vanishing point. An uppermost and lowermost peak in the
horizontal profile corresponds to search space of vehicles. Binarization of search space on the
horizontal gradient image is done using Otsu algorithm. Verification of vehicles is carried
through a series of rule based classifiers constructed using statistical moments, observing peaks
in vertical profiling, vehicle texture, symmetry and shadow property. Experimentation was
carried out on flat highway roads and detection rate of vehicles is nearly found to be 88.23 -This paper presents a novel approach for detecting vehicles for driver assistance. Assuming flat
roads, vanishing point is first estimated using Hough transform space to reduce the
computational complexity. Localization of vehicles is carried using horizontal projection on the
horizontal gradient image below vanishing point. An uppermost and lowermost peak in the
horizontal profile corresponds to search space of vehicles. Binarization of search space on the
horizontal gradient image is done using Otsu algorithm. Verification of vehicles is carried
through a series of rule based classifiers constructed using statistical moments, observing peaks
in vertical profiling, vehicle texture, symmetry and shadow property. Experimentation was
carried out on flat highway roads and detection rate of vehicles is nearly found to be 88.23 Platform: |
Size: 188416 |
Author:Chidanand |
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Search - symmetry detection