搜索资源列表
harris_detect
- 本程序实现打开两幅图像并且提取Harris角点,是角点特征匹配的第一步，对做立体匹配的朋友来说是一个很好的资源。-the program opened two images and extract Harris Corner, Corner is the first step to feature matching, so stereo matching pair of friends is a good resource.
基于Gabor特征提取和人工智能的人脸检测系统源代码
- 使用步骤： 1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱) 2. 找到"main.m"文件 3. 命令行中运行它 4. 点击"Train Network"，等待程序训练好样本 5. 点击"Test on Photos"，选择一个.jpg图片，识别。 6. 等待程序检测出人脸区域
Opensurf
- Surf,特征点检测算法,比sift还好的算法 论文和代码-Surf, feature point detection algorithm, the algorithm better than the paper sift and code
Am
- 手写数字特征值提取，提取像素点。手写数字特征值提取，提取像素点。-Feature Extraction of Handwritten Numerals
hog3D
- HOG3D，三维情境下检测兴趣点的源码，HOG特征的论文可以很容易搜到-HOG3D, three situations of interest points detected source, HOG features can easily search to papers
4
- ：本文较为系统地介绍了纸币面值数字图象识别的计算机仿真。文中详细介绍了模版 匹配、特征点匹配、神经网络等字符识别方法，并进行了比较。根据本文研究对象的特点，选择 了从分析数字本身的拓扑结构入手，根据字符投影分布的规律来判断和识别的方法，成功实现 了纸币面值的识别。-: This article notes a more systematic introduction to digital image recognition, face value of the computer si
FasterCorner
- 快速角点检测算法，速度比SIFT,SURF等特征快10倍以上，角点检测的重复精度较高，广泛应用于增强现实等对速度要求比较高的场合-Fast corner detection algorithm, faster than the SIFT, SURF and other features more than 10 times faster, corner detection of a high repeat accuracy, widely used in augmented reality, e
Moravec
- 实现Mravec算法，进行点特征的提取。最基本的点特征提取的方法，可以和其他的方法进行对比。-Mravec algorithm point feature extraction. The basic point feature extraction method and other methods were compared.
estimate_object_number_e.tar
- 该程序基于2D特征点的移动轨迹,估计独立运动的对象数目.-Given 2D trajectories of feature points moving in the image frame, this program estimates the number of independent motions using model selection by the geometric AIC (default) or the geometric MDL (option) based
RANSAC
- ransac算法对特征点找到最好的模型匹配对，消除一些有缺点的误匹配-the ransac algorithm to find the best model matching feature points to eliminate some shortcomings mismatching
ORB_Test
- 基于opencv的 orb特征点匹配的算法实例 比sift suft快很多-Opencv orb feature points matching algorithm instance is much faster than sift suft
DuckLakeSegmentation_SVM
- 用svm实现图片中目标的提取。ColorPix.exe为图片rgb值读取小软件，littleduck.jpg为目标图像。DuckLakeSegmentation_SVM.m为主程序，使用时可以选取图片处于目标位置像素点的rgb值作为特征训练svm。可以使用任意图片，通过修改主程序的DuckTrainData和LakeTrainData里面的rgb值即可-Svm achieve the target image using the extraction. ColorPix.exe rgb valu
FeatureExtractionFromPointClouds
- 点云特征提取 详细 实用 经典的讲述过程及方法-Point Cloud Feature Extraction practical details about the processes and methods of classic
ASM_Euler-distance
- 人脸识别，采用ASM和欧氏距离的方法，训练样本和测试样本来自SCface视频人脸库。ASM的特征点通过手工标记获得，并保存为mat文件。想要训练样本的原始图像，请联系我-Face recognition, using the ASM method and Euclidean distance, the training samples and testing samples from the SCface video database. Characteristics of ASM obtain
code_point
- 人脸特征点提取，用于人脸识别、鉴定、矫正、分割等-face point extract，for face identification、verification、alignment、segment and so on
facedetect
- 人脸检测器，检测完生成人脸框。可以用来做特征点定位。-Face detector, detecting the generated face frame.Can be used in the making of feature point positioning.
JDA-master
- 人脸特征点定位，将人脸检测与人脸对齐相结合-Facial feature points, will face detection and face alignment combined
T-CM
- TCM的论文，利用三角约束改进SIFT，可增加三倍的特征点-Triangle Constraint for finding more good features
shape_predictor_81_face_landmarks-master
- 基于dlib库的人脸68个特征点训练模型的扩展模型，可识别出人脸81个特征点，包括额头部分。(Based on the extended model of the face training model of 68 feature points based on Dlib database, 81 feature points can be recognized, including the forehead part.)