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Graphic
用MFC开发的小的二维制图程序，可实现简单的图形绘制，并对图形进行放缩，旋转，镜像等变换。(DRAW MFC )
- 2020-06-30 23:40:02下载
- 积分：1
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ICP
迭代最邻近点算法进行3D点云的匹配，四元数方法求旋转(ICP algorithm for point clouds)
- 2011-12-09 09:45:13下载
- 积分：1
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3Dtrans2D
三维图形的正轴测图，正视图，侧视图，俯视图的绘制(3D isometric map is the address map, side view overlooking Map)
- 2006-06-27 16:59:45下载
- 积分：1
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work
绘制瀑布图通过matlab语言，绘制转子个频率点个时间点的幅值变化情况(Draw waterfall figure)
- 2012-05-09 10:31:01下载
- 积分：1
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objection_tracking
改进的帧间差法运动目标追踪算法,比以前的经典算法有改善，不会出现边框锁定到边远的情况(Improved inter-frame difference method moving target tracking algorithm)
- 2013-10-29 15:07:22下载
- 积分：1
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gaborfilte
说明： 通过设置5个不同的时域窗尺度和8个方向（theta），得到40个Gabor滤波器。但在滤波器显示的时候出现了问题。以下分别把程序的源代码、调用代码(Forty Gabor filters are obtained by setting 5 different time window scales and 8 directions (theta). But there was a problem when the filter was displayed. The following procedures are the source code, call code)
- 2021-04-09 14:11:38下载
- 积分：1
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Voronoi1
Voronoi图是以两点间线段的长度作为距离 ,对平面的一种分割。然而 ,在地理环境中 ,存在着许多自然的或人为的障碍 ,使得从一点到另一点不能直线到达。为了扩大Voronoi图的应用领域 ,本文对传统的Voronoi图进行扩充 ,给出了障碍Voronoi图的定义、性质 ,以及离散生成线段障碍Voronoi图的方法(Voronoi diagram based on the length of line between two points as the distance from a partition of the plane. However, in the geographical environment, there are many natural or man-made obstacles, making from one point to another point of arrival can not be a straight line. In order to expand the area of Voronoi diagram, Voronoi In this paper, the traditional expansion plans, given the obstacles to the definition of Voronoi diagram, the nature of the discrete Voronoi diagram generation segment of the barrier method)
- 2009-07-14 11:02:15下载
- 积分：1
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snake_program
说明： 一种改进的活动轮廓模型－－GVF梯度矢量流模型(Improved active contour models-- gradient vector flow gradient vector model)
- 2006-05-07 16:56:41下载
- 积分：1
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VCAD
适合于图形学的初学者学习的二维图形绘制包(Graphics for beginners to learn the two-dimensional graphics rendering package)
- 2011-12-18 16:19:25下载
- 积分：1
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low-rank-ksvd
低秩的求解 denoise an image by sparsely representing each block with the
already overcomplete trained Dictionary, and averaging the represented parts.
Detailed description can be found in "Image Denoising Via Sparse and Redundant
representations over Learned Dictionaries(low rankdenoise an image by sparsely representing each block with the
already overcomplete trained Dictionary, and averaging the represented parts.
Detailed description can be found in "Image Denoising Via Sparse and Redundant
representations over Learned Dictionaries)
- 2011-10-25 00:05:01下载
- 积分：1
