登录
首页 » PDF » Image-region-annotation-semantic

Image-region-annotation-semantic

于 2014-09-13 发布 文件大小:7726KB
0 96
下载积分: 1 下载次数: 5

代码说明:

  区域语义多样性密度的图像标注。图像标注的好论文。(Image region annotation semantic diversity density. Image annotation good paper. )

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • voc-release3.1
    DPM作者获得 2010年CVPR终生成就奖,DPM是在HOG的基础上进行改进,解决了HOG算子的不足,并且对SVM也进行了小幅度改善提出了LSVM这个概念(DPM is improved on the basis of HOG. It solves the shortcomings of HOG operator, and makes a small improvement on SVM. The concept of LSVM is proposed)
    2017-07-20 10:06:52下载
    积分:1
  • criminisi-source-code
    这是个criminisi算法的源码,可以对图像进行相应的修补。效果很好。(This is a criminisi algorithm source code, images can be appropriate patch. With good results.)
    2021-03-15 10:39:22下载
    积分:1
  • 背景差分法MATLAB实现
    说明:  可以实现背景和目标的分离,效果还是不错的(about matlab programe)
    2020-03-14 18:28:09下载
    积分:1
  • zidianbijiao
    利用稀疏表示进行图像去噪时,需要生成两种学习字典,该源码比较了生成的两种字典的优劣(Denoising sparse representation, it is necessary to generate two learning dictionary, which compares the generated source code of the merits of two dictionary)
    2015-10-19 19:11:21下载
    积分:1
  • IDL code
    说明:  压缩文件中的代码可以读取图片并计算绿色植被的归一化植被指数,直接在IDL中打开即可使用(The code in the compressed file can read pictures and calculate the normalized vegetation index of green vegetation,and you can open it directly in IDL and use it.)
    2019-06-11 16:32:04下载
    积分:1
  • bin文件读写
    实现SAR复数数据bin文件的读取、写入,可被ENVI、PolSARpro等软件读取(SAR complex data read and write)
    2018-08-07 22:12:18下载
    积分:1
  • Nonsubsampled-Contourlet-Transform
    非下采样contourlet相关去噪,论文程序,包括非下采样contourlet变换工具箱,已通过仿真(Related denoising nonsubsampled contourlet paper program, including non-sampling contourlet transform toolbox has been through the simulation)
    2012-08-10 21:30:38下载
    积分:1
  • PS
    说明:  讲述PS技术的抠图经典问题,帮助你快速熟悉抠图的精华!(PS about the classic problem of technology, matting, matting to help you quickly familiar with the essence!)
    2011-05-13 23:58:48下载
    积分:1
  • ICP-point-cloud-registration
    三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低,提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准,获得较好 的点云初始位置,然后在经典 ICP 算法的基础上,采用 k - d tree 结构实现加速搜索,并利用方向向量夹角阈值去除 错误点对,提高算法的效率。实验表明,本算法流程在保证配准精度的前提下,显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)
    2016-08-01 10:34:57下载
    积分:1
  • idl
    idl 可视化分析与应用(随书程序),详细的程序与应用。(idl visualization analysis and application (with the book procedures), the detailed procedures and applications.)
    2009-03-18 19:12:27下载
    积分:1
  • 696518资源总数
  • 104347会员总数
  • 12今日下载