搜索资源列表
CalibRectNewIndices
- For fast image processing this scr ipt extracts all the parameters for stereo image rectification in order to get the largest rectangular image pairs with only valid pixel values. The parameters are sorted in the way images are read in (First pixels
SURF-based-image-stitching
- SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。
knnsearch
- 经典的knn最近邻算法 利用matlab的内部JIT加速算法，简单好用，高速时效。-Classic knn nearest neighbor algorithm using matlab internal JIT accelerated algorithm, easy to use, high-speed aging.
Gestures
- The $1 Unistroke Recognizer is a 2-D single-stroke recognizer designed for rapid prototyping of gesture-based user interfaces. In machine learning terms, $1 is an instance-based nearest-neighbor classifier with a Euclidean scoring function, i.e., a g
KNN
- 实现了KNN文本的分类，KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
java_KNN
- 实现了KNN文本的分类，KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
FalseNearest
- Chaos False Nearest Neighbor
Image-interpolation
- 图像的插值包括（双三次插值、双线性插值、最近邻插值和图像的采集与显示）-Image interpolation include (double three interpolation and bilinear interpolation, nearest neighbor interpolation and image acquisition and display)
KNN
- 小小的最近邻算法，希望能够对大家有所帮助-Tiny nearest neighbor algorithm , hoping to be helpful to everyone
NumericalAnalysis1
- 基于C#的图像扭曲变形程序。 包括图像的旋转扭曲和水波变换。 共用了最近邻、双线性、双三次三种插值方法。 图像为动态变化。 操作界面友好。 是个十分不错的程序-C# program is based on the image distortion. Including image rotation distortion and wave transformation. Sharing the nearest neighbor, bilinear, bicubic three
sousu
- 本程序可以用于自然最近邻的搜索,这里以500个点威力-This procedure can be used to naturally nearest neighbor search
Anisotropic
- 用OpenGL绘制了一个过道。载入了墙壁，天花板，地板的纹理。点击鼠标右键可以更改纹理过滤模式，最邻近过滤，线性过滤等。使用了MIP忒图技术，同样可以选择Mip贴图过滤模式，进行直观的比较与学习。通过方向键可以移动观察点。-Draw up an aisle with OpenGL. Loaded the walls, ceilings, floors texture. Click the right mouse button you can change the texture filterin
PCA-based-facial-recognition
- 基于PCA特征提取和距离哈希K近邻分布的人脸表情识别-PCA-based feature extraction and distribution of K-nearest neighbor distance hash Facial Expression Recognition
K-nearest-neighbor-averaging
- matlab 分别利用邻域平均和K点平均对椒盐噪声图像，高斯噪声图像，乘性噪声图像进行处理，比较两者的差别-matlab use neighborhood were average and K-point average for salt and pepper noise image, Gaussian noise images, image processing multiplicative noise, compare the difference between the two
kdtree
- k-d树（k-dimensional树的简称），是一种分割k维数据空间的数据结构。主要应用于多维空间关键数据的搜索（如：范围搜索和最近邻搜索）。K-D树是二进制空间分割树的特殊的情况。-kd tree (k-dimensional tree for short), is a data structure split k-dimensional data space. Mainly used in multi-dimensional space-critical data search (eg:
kriging
- 包括基本的克里金(Kriging)插值法实现代码，仅实现基本方法部分，不包含扩展克里金方法- kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct
SIFT_matlabe1
- This a MATLAB implementation of the SIFT keypoint detector and descr iptor -do_gaussian: generate Gaussian scale space of input image do_diffofg: generate Difference of Gaussian (DoG) scale space do_localmax: local extrema as the potential keyp
Classification-1
- Nearest Neighbor Classification
ann_test
- 最近邻域搜索(k-Nearest Neighbor algrithmn
KNN
- K-NN k-Nearest Neighbor classification algorithm-K-NN k-Nearest Neighbor classification algorithm