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Efficient_implementation_of_kernel_filtering.3
- Kernel based filtering is one of the fundamental tools of image analysis and processing. A number of approaches have been developed over the years that allow efficient implementation of such filters even when the kernel size is large. This article re
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern
KernelObjectTrack
- Kernel Object Tracking算法实现代码，自己本科毕设！-Kernel Object Tracking algorithm code, we completed the set up their own!
dectect
- 基于高斯核密度模型的运动目标检测，适合图像处理专业人员参考-Based on the Gaussian kernel density model of moving target detection for image processing professionals reference
1
- 自适应核密度估计运动检测方法 提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模型和KDE分类结果, 来解决背景更新中的死锁问题, 同时检测背景的突然变化. 实验证明了所提出
kernel
- Kernel-based 图像去噪和复原算法，是一种基于图像局部特征的复原方法。-Kernel-based algorithm for image denoising and restoration, is a local feature of image-based recovery methods.
Kernel Based Deblurring ToolBox ver
- 运用核回归方法去模糊的经典程序，效果很好，有参考文献-using kernel regression for image deblurring,it s very effective
kfcm
- 基于核函数的模糊C聚类均值（fcm）算法-FCM algorithm based on kernel function
Classifying_Video_with_Kernel_Dynamic_Textures_CVP
- 顶级会议CVPR上发表的基于动态纹理的视频分类的论文，提出了基于核函数的方法，具有很高的参考价值。-Published in top-level meeting CVPR video classification based on dynamic texture paper, presented a method based on kernel function, has high reference value.
Kernel-PCA
- calculation algorithm for principle component analysis based kernel of any image database.
WeightedMMDA
- 不仅使用了kernel trick ，还是用了加权的最大边缘规则，获得较好的识别效果。-A new kernel-based learning algorithm, called kernel weighted maximum margin discriminant analysis (KWMMDA), is presented in this paper. Different from the previous discriminant analysis algorithms base
SILK-GC_GPU
- 在基于核的在线学习方法的基础上加入了图切割技术，用于背景建模和前景提取。-The kernel-based online learning method based on graph cut technique for background modeling and the prospects for extraction.
SILK_cpu
- 一个基于核的在线学习算法，运行于CPU上，由matlab和c混合编写。用于背景建模和前景提取。-A kernel-based online learning algorithm, running on the CPU, prepared by the mixture of matlab and c. For background modeling and the prospects for extraction.
SVM-based-image-classification
- 基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。 -SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
KA
- Kernel alignment is a good method for choosing the proper kernel parameters in SVM or other kernel based method.
[kimi]FGT
- 实现了 Changjiang Yang, etc. “Real-Time Kernel-Based Tracking in Joint Feature-Spatial Spaces”, Technical Reports from UMIACS, 2004 中的FGT算法。-The code for FGT(Fast Gauss Transform) from: Changjiang Yang, etc. “Real-Time Kernel-Based Tracking in Joint Fea
KernelRegressionBasedImageProcessing
- 基于核回归的迭代图像去噪算法，matlab源码-Kernel based iterative image denoising algorithm, matlab code
9Customizing-kernel-functions-
- 9定制内核函数基于高光谱图像分类IEEE图像处理622 _guo_tip 17(4)622 - 629-9 Customizing kernel functions for SVM-based hyperspectral image classification IEEE Transactions on Image Processing 17 (4) 622-629 2008_guo_tip
3DHoughT
- 基于三维核函数的霍夫变换，可以检测出图片中存在的平面。-3-D Kernel-based Hough transform for plane detection
SVM-with-Examples
- 介绍了支持向量机和其他基于学习的方法,相关人员可以参考。-Introduction to support vector machines and other kernel-based learning methods