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[Special Effectsface_detection

Description: Face detection made in Processing based on OpenCV library. It detects the form of a human face in a webcam stream and outputs a red square around that person s face. Get processing from www.processing.org for fr-Face detection made in Processing based on OpenCV library. It detects the form of a human face in a webcam stream and outputs a red square around that person s face. Get processing from www.processing.org for free
Platform: | Size: 1024 | Author: valentin | Hits:

[Special Effectstest

Description: Square Detection and show how it work using opencv
Platform: | Size: 3072 | Author: ToaDzY | Hits:

[OtherCorners

Description: 首先,请检查/样品在你的OpenCV的分布/ C/ squares.c的。这个例子提供了一个方形的检测,如何检测角落类似的功能,它应该是一个不错的开始。然后,一起来看看在OpenCV的功能,导向功能,如cvCornerHarris()和cvGoodFeaturesToTrack()。 上述方法可以返回许多角落类似的功能 - 最不会“真正的角落”你正在寻找。在我的应用程序,我只好检测,旋转或倾斜的广场(透视)。我的检测流水线包括: 从RGB转换为灰度级(cvCvtColor) 平滑(cvSmooth) 阈值(cvThreshold) 检测边缘(cvCanny) 查找轮廓(cvFindContours的) 线性特征的大致轮廓与(cvApproxPoly) 查找“矩形”,这是结构:已经拥有4个点的polygonalized轮廓,有足够的面积,相邻的边〜 90度,“对面的”顶点之间的距离足够大,等等。 第7步是必要的,因为稍微嘈杂的图像可以产生许多结构出现矩形后polygonalization。在我的应用程序中,我也有处理方状结构,内出现,或重叠所需的平方。我发现轮廓的区域属性和重心是有帮助的挑剔适当的矩形。-First, check out /samples/c/squares.c in your OpenCV distribution. This example provides a square detector, and it should be a pretty good start on how to detect corner-like features. Then, take a look at OpenCV s feature-oriented functions like cvCornerHarris() and cvGoodFeaturesToTrack(). The above methods can return many corner-like features- most will not be the "true corners" you are looking for. In my application, I had to detect squares that had been rotated or skewed (due to perspective). My detection pipeline consisted of: Convert from RGB to grayscale (cvCvtColor) Smooth (cvSmooth) Threshold (cvThreshold) Detect edges (cvCanny) Find contours (cvFindContours) Approximate contours with linear features (cvApproxPoly) Find "rectangles" which were structures that: had polygonalized contours possessing 4 points, were of sufficient area, had adjacent edges were ~90 degrees, had distance between "opposite" vertices was of sufficient size, etc.
Platform: | Size: 1024 | Author: clark | Hits:

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