開(kāi)源投影系統(tǒng) Cartographic Projections library originally written by Gerald Evenden then of the USGS. The primary version of this web page can be found at http://www.remotesensing.org/proj, and mirrored at http://proj.maptools.org.
標(biāo)簽： Cartographic Projections originally Evenden
上傳時(shí)間： 2016-01-28
上傳用戶：zhouchang199
This sample demonstrates the use of the projection objects ProjCoordSys and GeoCoordSys, and the CoordinateSystem property of the MapLayer object and Map control. This application is intended to teach about the different world Projections and there uses.
標(biāo)簽： the ProjCoordSys demonstrates GeoCoordSys
上傳時(shí)間： 2015-05-17
上傳用戶：363186
allows the user to select files containing objects and draw them using one of the available Projections.
標(biāo)簽： containing the available objects
上傳時(shí)間： 2013-12-28
上傳用戶：zhangyi99104144
VideoMan (Video Manager) is an open-source C++ library that helps you developing video based applications. We created VideoMan to increase our productivity developing computer vision applications, but it can be used in many other ways. With VideoMan is very easy and fast to initialize any kind of video input like webcams, video files, frame grabbers, IEEE 1394 cameras and so on. You can initialize multiple inputs at the same time and show them in the screen. Also, you can show the results of the processing steps of your computer vision algorithm (extracted edges, back Projections, detected blobs...) This way you can see the results of what are you coding, checking the results of your algorithm steps. Moreover, the implemented visualization scheme make easier to combine computer graphics with video, for example to show a 3d model on top of video for augmented reality applications.
標(biāo)簽： open-source developing VideoMan Manager
上傳時(shí)間： 2014-01-21
上傳用戶：chongcongying
matlab有限元網(wǎng)格劃分程序 DistMesh is a simple MATLAB code for generation of unstructured triangular and tetrahedral meshes. It was developed by Per-Olof Persson (now at UC Berkeley) and Gilbert Strang in the Department of Mathematics at MIT. A detailed description of the program is provided in our SIAM Review paper, see documentation below. One reason that the code is short and simple is that the geometries are specified by Signed Distance Functions. These give the shortest distance from any point in space to the boundary of the domain. The sign is negative inside the region and positive outside. A simple example is the unit circle in 2-D, which has the distance function d=r-1, where r is the distance from the origin. For more complicated geometries the distance function can be computed by interpolation between values on a grid, a common representation for level set methods. For the actual mesh generation, DistMesh uses the Delaunay triangulation routine in MATLAB and tries to optimize the node locations by a force-based smoothing procedure. The topology is regularly updated by Delaunay. The boundary points are only allowed to move tangentially to the boundary by Projections using the distance function. This iterative procedure typically results in very well-shaped meshes. Our aim with this code is simplicity, so that everyone can understand the code and modify it according to their needs. The code is not entirely robust (that is, it might not terminate and return a well-shaped mesh), and it is relatively slow. However, our current research shows that these issues can be resolved in an optimized C++ code, and we believe our simple MATLAB code is important for demonstration of the underlying principles. To use the code, simply download it from below and run it from MATLAB. For a quick demonstration, type "meshdemo2d" or "meshdemond". For more details see the documentation.
標(biāo)簽： matlab有限元網(wǎng)格劃分程序
上傳時(shí)間： 2015-08-12
上傳用戶：凜風(fēng)拂衣袖
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