feature 源码搜索结果, 第31页, Verysource

tinyproxy-1.4.0pre2.tar.gz ... speed response from a server, and then relay it to a client at the highest speed the client will accept. This feature greatly reduces the problems with sluggishness on the Internet. If you are sharing an Internet connection with a small network, ...
gsnake.tar.gz ... , extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, character recognition, motion analysis and etc.
c04.rar 这个程序将图像变为二值化图像，然后对图像进行形状的特征提取，算法很全，包含多种图像形状提取方式。-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods.
map.rar ... = pLayer as IFeatureLayer IGeoFeatureLayer pGeoFeatureLayer = pLayer as IGeoFeatureLayer //获取图层上的feature IFeatureClass pFeatureClass = pFeatureLayer.FeatureClass IFeatureCursor pFeatureCursor = pFeatureClass.Search(null, false) IFeature ...
Factorization.zip Lucas-Kanader-Tomasi Feature Tracker，由运动恢复结构的问题，目的是从一组由摄像机移动获得的图像来恢复一个场景的立体结构。对于这个问题，C.Tomasi和T.Kanade[1]于1992年提出了一种Factorization的方法，可以有效地避免噪声的干扰，同时不会受限于特定的运动模型，例如单纯的平移或是旋转。
LucasKanadeTracker.zip Lucas-Kanader-Tomasi Feature Tracker，基于B.D.Lucas和T.Kanade[1]于1981的早期工作，于1991年由C.Tomasi和T.Kanade[2]完整导出，并于1994年由J.Shi和C.Tomasi[3]在文章中清楚地阐述。J.Y.Bougue[4]于2000年给出了此算法的一种实现，并收录在Intel公司的计算机视觉函数库OpenCV中。本例是此算法基于OpenCv的代码实现
Sift.zip 用SIFT (Scale Invariant Feature Transform) 算法进行图像特征提取，基于OpenCv的C++代码实现。
LEDCLOCK.rar Applet Name: Sentence Applet Source: Sentence.java Import(s): java.applet, java.awt, java.io, java.lang, java.util Feature(s): text, image, animation, mouse
MASTERMIND.rar Applet Name: Mastermind Applet Source: mastermind.java Import(s): java.awt, java.net, java.awt.image Feature(s): image, mouse
NAVCUBE.rar Applet Name: navCube Applet Source: navCube.java Import(s): java.applet, java.awt, java.awt.image, java.lang, java.net, java.util Feature(s): image, animation, network, mouse

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