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2D-lacal-steering-kernel
- 读取文件夹下的所有相应格式的图像组合成为一个图像序列-read image
hough
- 用于对图像的边缘检测（采用canny算法）。 image 输入图像，这个必须是单通道的，即灰度图 edges 输出的边缘图像 ，也是单通道的，但是是黑白的 threshold1 第一个阈值 threshold2 第二个阈值 aperture_size Sobel 算子内核大小 -Using canny algorithm for image edge detection (). image input image, this must be a singl
ROI2
- 从眼动仪提取数据，根据高斯核函数得到感兴趣区域-Extract data from the eye tracker, based on the Gaussian kernel function to get the area of interest
ksr
- 数据平滑函数，已经测试过了，采用高斯核函数方法，很好用 -Data smoothing function, it has been tested using Gaussian kernel function method, easy to use
ksrlin
- 数据平滑函数，在高斯核函数的基础上进行的方法改进，-Data smoothing function, a method based on the Gaussian kernel function were improved,
ksr
- 数据平滑函数，在高斯核函数的基础上进行的改进-Data smoothing function, based on the Gaussian kernel function were improved
meanshift
- meanshift均值平移跟踪算法中核函数窗宽的自动选取代码，根据目标大小变化核窗宽，使得当目标出现大小变化时准确跟踪到目标中心-Meanshift mean shift tracking algorithm kernel bandwidth automatic code is selected, according to the objective changes in the size of the kernel bandwidth, making when target size chan
wnrigpppi
- we present a nonlinear version of the well-known anomaly detection method referred to as the RX-algorithm. Extending this algorithm to a feature space associated with the original input space via a certain nonlinear mapping function can provi
aareition
- er than mean squared error (MSE) function only. As an additional merit, it is also revealed that rigorous Mercer kernel condition is not required in FKNN networks. When the proposed architecture of FKNN networks is constructed in a layer-by-lay