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091750210835714

于 2018-05-30 发布 文件大小:5110KB
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代码说明:

  基于matlab识别手势,可以识别石头,剪刀,布,进行猜拳判断输赢(Identify gestures, guessing and win)

文件列表:

基于matlab的手势识别, 0 , 2011-10-02
基于matlab的手势识别\001.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0010.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0011.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0012.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0013.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0014.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0015.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0016.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0017.bmp, 216054 , 2011-06-01
基于matlab的手势识别\002.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0020.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0022.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0025.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0027.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0028.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0029.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0030.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0031.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0032.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0033.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0034.bmp, 216054 , 2011-06-01
基于matlab的手势识别\0035.bmp, 216054 , 2011-06-01
基于matlab的手势识别\004.bmp, 216054 , 2011-06-01
基于matlab的手势识别\006.bmp, 216054 , 2011-06-01
基于matlab的手势识别\007.bmp, 216054 , 2011-06-01
基于matlab的手势识别\008.bmp, 216054 , 2011-06-01
基于matlab的手势识别\009.bmp, 216054 , 2011-06-01
基于matlab的手势识别\1.asv, 5770 , 2011-06-01
基于matlab的手势识别\1.bmp, 216054 , 2011-06-01
基于matlab的手势识别\1.fig, 3514 , 2011-06-01
基于matlab的手势识别\1.m, 5942 , 2011-06-04
基于matlab的手势识别\2.asv, 3107 , 2011-06-01
基于matlab的手势识别\2.bmp, 216054 , 2011-06-01
基于matlab的手势识别\2.m, 2013 , 2011-06-04
基于matlab的手势识别\3.bmp, 216054 , 2011-06-01
基于matlab的手势识别\Untitled.m, 773 , 2011-06-01
基于matlab的手势识别\cut.m, 1895 , 2011-06-01
基于matlab的手势识别\fanhui.fig, 1448 , 2011-06-01
基于matlab的手势识别\fanhui.m, 3195 , 2011-06-01
基于matlab的手势识别\feature1.m, 1029 , 2011-06-04
基于matlab的手势识别\feiyang.asv, 5974 , 2011-06-01
基于matlab的手势识别\feiyang.fig, 3183 , 2011-06-01
基于matlab的手势识别\feiyang.m, 5758 , 2011-06-01
基于matlab的手势识别\gaussFilter.m, 1081 , 2011-06-01
基于matlab的手势识别\lose.jpg, 14955 , 2011-06-01
基于matlab的手势识别\peace.jpg, 7225 , 2011-06-01
基于matlab的手势识别\win.jpg, 15310 , 2011-06-01

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    本文以自主驾驶车辆为实际应用背景.提出了一种改进的RRT(快速随机搜索树)路径规划算法.该路 径规划算法将非完整性约束条件与双向多步扩展RRT搜索算法相结合,在提高搜索效率的同时保证了规划路径的可 行性.同时将路径点作为B样条基函数的控制点,用三次B样条函数来拟合控制点生成平滑可跟踪的路径.通过在平 面障碍物环境下实验,验证了该算法的有效性.(AimingattheapplicationofALV(automaticlandvehicle),animprovedRRT(RapidlyRandom?exploring Trees)pathplanningalgorithm isproposed.Thealgorithm combinesthenoholonomicconstraintsofvehiclewithdoubleextend RRTs,whichnotonlyimprovestheefficiencyofsearchingbutalsoguaranteesthefeasibilityofthepathatthesametime.Thepath pointsaretakenasreferencepointsfortheB?splinebasicfunction,approachandcreateanewsmoothroutewhichsuitsforthevehi? cletofollow.Thesimulationoutcomesandfieldtestsverifytheeffectivenessofthemethodproposed.)
    2012-12-01 18:39:27下载
    积分:1
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    积分:1
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    实现基于卡尔曼滤波器的多目标跟踪,可进行相关了解与研究(object tracking based on kalman)
    2019-06-06 09:40:59下载
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    2013-05-17 19:39:04下载
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    视频截图的类源码下载
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    在逆向工程中通过测量仪器得到的产品外观表面的点数据集合也称之为点云,通常使用三维坐标测量机所得到的点数量比较少点与点的间距也比较大,叫稀疏点云;而使用三维激光扫描仪或照相式扫描仪得到的点云点数量比较大并且比较密集,叫密集点云。(Data collection point in the surface appearance of the product obtained by reverse engineering measurement instruments, also known as point clouds, usually spaced three-dimensional coordinate measuring machine number of points obtained in relatively small dots are relatively large, called sparse point cloud while the number of point cloud using the three-dimensional laser scanner or camera scanner get bigger and more intensive, called dense point clouds.)
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    运用Perona-Malik各项异性扩散模型对二维图像进行去噪处理。该方法在有效的抑制噪声的同时能够保护图像的边缘。(The use of Perona-Malik Anisotropic Diffusion Model for the treatment of two-dimensional image denoising. The method in the effective suppression of noise at the same time to protect the edge of the image.)
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