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- 神经网络的人脸识别 有错误 不知道怎么改-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound,
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
Combining-face-detection-and-people-tracking-in-v
- Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
FANN-2.2.0-Source.zip
- this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing,
analyzeNonUniformPattern
- Code takes two images-detect faces-transform them into feature with LBP-calculates histogram according to LBP codes and compare histograms you can change the parameters that how many pieces you want to fall the face to or change LBP parameters
25292626
- 为了实现复杂环境下的人脸特征有效表达，提出一种改进的梯度方向直方图（ＨＯＧ）人脸识别方法．首先以人脸图像网格作为采样窗口并在其上提取 ＨＯＧ特征；然后将所有网格 ＨＯＧ特征向量进行组合，实现整个人脸特 征表达；最后采用最近邻分类器进行识别．另外，比较了该方法与Ｇａｂｏｒ小波和局部二值模式（ＬＢＰ）２种著名的人脸 局部特征表示方法的优劣．实验结果表明，在调优的 ＨＯＧ参数下，在具有光照和时间环境等复杂变化的ＦＥＲＥＴ人 脸库中，较少维数的 ＨＯＧ特征比ＬＢＰ特征有更好的表现，而且 ＨＯ
renlian
- 主要是进行一个人脸的光照补偿和灰度处理后的直方图，当然有些比较图在里面。- Mainly histogram after exposure compensation and gradation processing of a human face, of course, some comparison chart on the inside
二值图像中拐点的实时检测算法
- 数字图像中的拐点通常成为重要的信息载体，因此准确、稳定和实时地检测出拐点便成为拐点检测算法面l临的主要问题，针对该问题，提出了一种新的二值图像中拐点的实时检测算法。该算法与传统基于边界链码的拐点检测算法不同，其是首先构建像素的k(k>8)邻域，并将图像中物体的边界表示为k邻域链码；然后根据曲率定义的差分形式计算各边界点处的曲率；最后通过检测曲率直方图的局部峰值精确定位出拐点，并利用拐角内部像素的颜色统计信息迅速判断出拐点的凸凹性。(The inflection point in the d