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MyNewReProject

于 2010-12-10 发布 文件大小:618KB
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下载积分: 1 下载次数: 44

代码说明:

  点云读取,旋转,平移,缩放,统统是包含全视图的各种视图的显示(Point in put)

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    说明:  运用二元光学元器件实现高斯激光光束的波形整形(Using binary optical components Gaussian laser beam waveform shaping)
    2013-12-30 00:08:35下载
    积分:1
  • m11
    混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)
    2014-04-15 11:11:55下载
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    图像拼接:实现两幅具有重叠区域的图像的拼接;使用MFC框架,内有程序使用文档(image mosaicing)
    2010-12-07 14:00:01下载
    积分:1
  • OpticalFlow
    使用光流法对运动目标进行估计,要使用opencv一起实现。效果还不错(Using optical flow method to estimate the moving target, to use opencv implemented together. Results were pretty good)
    2013-07-26 09:24:44下载
    积分:1
  • ImageMatch
    摄影测量中影像匹配小程序,附带两幅图片,比较实用(Photogrammetry image matching small program, with two pictures, more practical)
    2016-04-29 20:03:43下载
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  • danmu
    说明:  基于opencv平台编写的单目相机标定程序,使用的张正友的方法,只要准备十二张单目相机拍摄的棋盘格的图片就可以标定出单目相机的焦距等参数,建立单目相机坐标系。可以用于机器视觉测量中,也可以用于双面相机标定的前一步,精度很高。(Based on the monocular camera calibration program compiled by the OpenCV platform, the method of Zhang Zhengyou is used to calibrate the focal length and other parameters of the monocular camera and establish a monocular camera coordinate system as long as 12 pieces of chessboard pictures taken by the monocular camera are prepared. It can be used in machine vision measurement, and it can also be used in the previous step of the calibration of the double-sided camera, with high precision.)
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  • CT-tracking
    一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维,然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单,但是实验结果很鲁棒,速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)
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  • Bppeizhuna
    基于互信息的图像配准源代码,,采用粒子群优化算法可直接使用。 (Based on mutual information image registration source code, using particle swarm optimization algorithm can be used directly.)
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