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三维数据的法矢量 NormalAdjust

于 2020-07-28 发布文件大小:4181KB

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下载积分: 1 下载次数: 78

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代码说明：

计算三维数据的法矢量并进行调整，里面包括了自己做的实验数据和结果(Three-dimensional data, vector calculation method and make adjustments, which includes the make their own experimental data and results)

文件列表：

61
..\106QIU61.txt
..\106QIU68.txt
..\106ZHUMIAN61.txt
..\10KnnQiu.igs
..\518KnnCentGOLF.txt
..\BALL.igs
..\Debug
..\.....\TestNormalJusting.exe
..\.....\TestNormalJusting.ilk
..\.....\TestNormalJusting.obj
..\.....\TestNormalJusting.pch
..\.....\TestNormalJusting.pdb
..\.....\vc60.idb
..\.....\vc60.pdb
..\JustedNormalofBall.CATPart
..\JustNormalimproved61.cpp
..\justNorofBALL610 .igs
..\justNorofBALL612 .igs
..\justNorofBALL63 .igs
..\justNorofBALL64 .igs
..\justNorofBALL64222 .igs
..\justNorofBALL64222CORRECT .CATPart
..\justNorofCBALL61improved .igs
..\justNorofCBALL63improved .igs
..\k10MeanCurvaBALL61improved.txt
..\k10MeanCurvaMouse61improved.txt
..\k10MeanCurvaYUANZHU61improved.txt
..\k10MeanCurvaYUANZHU61improved2.txt
..\k10MeanCurvaYUANZHU63improved2.txt
..\knncentOFQIU.igs
..\KnnQIU.txt
..\NonJustedofBALL .CATPart
..\Normalofball .igs
..\Normalofball63 .igs
..\Normalofball64 .igs
..\Normalofball68 .igs
..\Normalofball68222 .igs
..\QIU.igs
..\QIU2.igs
..\TestNormalJusting.cpp
..\TestNormalJusting.dsp
..\TestNormalJusting.dsw
..\TestNormalJusting.ncb
..\TestNormalJusting.opt
..\TestNormalJusting.plg
..\yuanzhu.igs
..\yuanzhuNor.CATPart
..\ZHUMIAN.igs

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2010-04-30 16:42:22下载

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2013-11-30 20:23:27下载

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对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果(Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results)

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根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)

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