Description: 最小二乘法拟合圆vc实现，最小二乘法(least squares analysis)是一种 数学 优化 技术，它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。-least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniques, It error by minimizing the square and a group of data to find the best matching function. Least-squares method is the most simple method to derive absolutely true value unknown, and so the sum of squared errors to the minimum. Platform: |
Size: 187392 |
Author:林楚 |
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Description: 最小二乘法拟合圆vc实现，最小二乘法(least squares analysis)是一种 数学 优化 技术，它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。-least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniques, It error by minimizing the square and a group of data to find the best matching function. Least-squares method is the most simple method to derive absolutely true value unknown, and so the sum of squared errors to the minimum. Platform: |
Size: 187392 |
Author:林楚 |
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Description: 最小二乘法(least squares analysis)是一种 数学 优化 技术，它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。 最小二乘法通常用于 曲线拟合 (least squares fitting) 。这里有 拟合圆曲线 的公式推导过程 和 vc实现。-Least squares method (least squares analysis) is a mathematical optimization technology, which by minimizing the square error and one set of data to find the best matching function. Least squares method is the simplest way to achieve some absolutely unknown true value, so that the sum of squared error for the smallest. Least square method is usually used for curve fitting (least squares fitting). There are circular curve fitting formula derivation process and realize vc. Platform: |
Size: 187392 |
Author:pengya |
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Description: 针对基于最小二乘法的ICP 曲面匹配算法难以处理待比较曲面的局部大变形问题, 提出一种改进算
法。即采用遗传算法确定曲面初始相对位置以保证匹配优化结果为全局最优值, 利用ICP 算法匹配结果构造
偏差阈值, 以此阈值过滤点群后再以最小二乘法进行匹配处理, 消除局部大变形影响, 获得合理的变换矩阵。以此变换矩阵变换初始点群再进行误差计算, 从而获得理想的匹配结果-Least square method based on the ICP surface matching algorithm to be relatively difficult to deal with the local surface deformation problem, an improved algorithm. Genetic algorithm that is used to determine the relative position of the initial surface in order to ensure optimization of the results of matching the global optimum value, the use of ICP algorithm to match the results of structural deviation threshold, this threshold point group and then filtered to match the least squares processing, the elimination of local large deformation effects of the transformation matrix to obtain reasonable. Transformation matrix to transform the initial point of the calculation error of another group in order to achieve an ideal match Platform: |
Size: 342016 |
Author:chenruibao |
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Description: 用最小二乘的方式,进行图像的匹配,可以同时显示两张图像,并计算匹配的精度-The least square approach for image matching that can display two images and calculate the accuracy of matching Platform: |
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Author:guojiahua |
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Description: 在实时跟踪系统中,要求在跟踪过程中跟踪窗口的大小实时地适应运动目标的外观变化,这对应着Meanshift 的尺度变化. 针对跟踪这种尺度变化的问题,在跟踪框内检测角点并进行匹配,将所有得到的匹配角点对建立仿射模型,并采用最小二乘法求解得到尺度变化系数,进而更新跟踪框尺度,使得Meanshift 算法可自适应地变化尺度并跟踪到大小不断变化的目标. 实验结果表明,提出的算法具有较好的准确性、鲁棒性和实时性.-In real-time tracking system, requiring the tracking process to track the size of the window of moving objects in real time to adapt to changes in appearance, which corresponds to Meanshift scale changes. For the tracking problem of this scale changes in the tracking box corners and be detected match, will be matching all corners of the establishment of affine model, and using the least square method by scaling coefficient of variation, and then update the tracking box scale, making Meanshift algorithm can adaptively changing the scale and track the size of the ever-changing target. Experimental results show that the proposed algorithm has better accuracy, robustness and real-time. Platform: |
Size: 436224 |
Author:sunlikui |
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Description: 针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.-View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach. Platform: |
Size: 285696 |
Author:pot |
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Description: 偏最小二乘法是一种数学优化技术，它通过最小化误差的平方和找到一组数据的最佳函数匹配。 用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。-Partial least squares method is a kind of mathematical optimization technique, it through the minimum error sum of squares to find a set of data the best function matching. With the Jane s method for some absolutely unknowable true value, and make the sum of error square to a minimum. Platform: |
Size: 72704 |
Author:sup |
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Description: 最小二乘法快速计算软件（带qt源码）最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。-The least squares method least squares method for rapid calculation software (with qt source) (also known as the least squares method) is a mathematical optimization techniques. Minimize the square of the error and the best function to find data matching. Platform: |
Size: 4671488 |
Author:林海 |
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Description: SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。
采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。
-SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching.
This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching.
Platform: |
Size: 2070528 |
Author:马丁 |
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Description: 偏最小二乘法，它通过最小化误差的平方和找到一组数据的最佳函数匹配。 用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。 很多其他的优化问题也可通过最小化能量或最大化熵用最小二乘形式表达。-Partial least squares method, which by minimizing the square error and one set of data to find the best matching function. The simplest method to obtain some of the absolutely unknown true value, and make the sum of squared errors is minimized. Many other optimization problems can be expressed by the least squares in the form of energy by minimizing or maximizing entropy. Platform: |
Size: 1024 |
Author:贾佳 |
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Description: 连续相位调制信号(CPM)产生，分析了该信号的时域、频域、倒谱，循环谱等,阵列信号处理的高分辨率估计，采用偏最小二乘法，仿真图是速度、距离、幅度三维图像，最小均方误差（MMSE）的算法，粒子图像分割及匹配均为自行编制的子例程。- Continuous phase modulation signal (CPM) to produce, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. High-resolution array signal processing estimates, Partial least squares method, FIG simulation speed, distance, amplitude three-dimensional image, Minimum mean square error (MMSE) algorithm, Particle image segmentation and matching subroutines themselves are prepared. Platform: |
Size: 6144 |
Author:jbzpecgfu |
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Description: 针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.) Platform: |
Size: 2048 |
Author:九月晴空 |
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Description: 最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达(The least square method, also known as the least square method, is a mathematical optimization technology. It searches for the best function matching of data by minimizing the sum of squares of errors. The least squares method can be used to get the unknown data simply and make the sum of squares between the obtained data and the actual data smallest. The least square method can also be used for curve fitting. Some other optimization problems can also be expressed by least squares method by minimizing energy or maximizing entropy.) Platform: |
Size: 1024 |
Author:dong5324 |
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Search - least square matching