Description: 基于Processed histogram的人脸识别方法，方法简单，识别率高，参考文献“Face Recognition using processed histogram and phase only correlation”-Recognizing objects from large image databases, histogram based methods have proved simplicity and usefulness in last decade. Initially, this idea was based on color histograms that were launched by swain. This algorithm presents the first part of our proposed technique named as “Histogram processed Face Recognition”. Platform: |
Size: 4342784 |
Author:GJ |
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Description: 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshift algorithm which is a robust statistical method of finding the mode (top) of a probability distribution. Both CAMSHIFT and Meanshift algorithms exist in the library. While it is a very fast and simple method of tracking, because CAMSHIFT tracks the center and size of the probability distribution of an object, it is only as good as the probability distribution that you produce for the object. Typically the probability distribution is derived from color via a histogram, although it could be produced from correlation, recognition scores or bolstered by frame differencing or motion detection schemes, or joint probabilities of different colors/motions etc.
In this application, we use only the most simplistic approach: A 1-D Hue histogram is sampled from the object in an HSV color space version of the image. To produce the Platform: |
Size: 15360 |
Author:黄文伟 |
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Description: 压缩包包括以下几个功能实现的opencv源代码：canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian background modeling, background subtraction method for edge detection, image color distribution histogram of the correlation processing, face recognition algorithm. Platform: |
Size: 6144 |
Author:张桦 |
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Description: ASMS仅依靠颜色特征的算法而且速度很快，在VOT2015是20名, 是VOT2015官方推荐的实时算法，平均帧率125FPS。在VOT2016是32名，整体属于中等水平。在经典mean-shift框架下加入了尺度估计，经典颜色直方图特征，加入了两个先验(尺度不剧变+可能偏最大)作为正则项，和反向尺度一致性检查。在相关滤波和深度学习盛行的年代，还能看到mean-shift打榜还有如此高的性价比实在不容易。环境：WIN8.1 64位 +Visual Studio 2015 +OpenCV 3.3.0(ASMS relies only on the color feature algorithm and is fast in speed. It is 20 in VOT2015, a real-time algorithm recommended by the VOT2015, with an average frame rate of 125FPS. The VOT2016 is 32, and the whole is at the middle level. In the classical mean-shift framework, scale estimation is added. Classical color histogram features are added to two priors (scale undrastic + possible maximum) as regularization terms and reverse scale consistency check. In the age of correlation filtering and depth learning, it was also not easy to see that mean-shift had such a high cost performance.) Platform: |
Size: 7051264 |
Author:betforever |
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Search - color by correlation algorithm