搜索资源列表
Learning-Opencv
- 学习Opnecv习题（第2、3、4、5章）课后参考源代码-The key t0 Learning opencv
Test
- 利用opencv在vc环境下开发的关键帧提取程序-Environment in vc using opencv key frame extraction procedure developed
xqyd
- 由鼠标左右键控制图形小球移动 点左键 小球移向鼠标点击位置，点右键 停止运动-Graphics by the mouse left key control point of the ball moving the ball move left mouse click position, point right to stop movement
videoanalysis
- 分析视频文件，得到关键帧，并从关键帧中识别出圆形物体（应用为识别柑橘）-Analysis of video files, get the key frames and key frames from the identified circular object (application for the identification of citrus)
main
- opencv2.2 win 7 本程序可以为分类器创建大小统一的正样本。按下左键放大，右键缩小，中键保存。-This program based opencv2.2, it can create the uniform pictures for the classification of positive samples. Press the left key for zoom in, right key reduce, and the middle key to save.
camera
- 实现功能：同时采集两路USB摄像头数据，并显示，具有图片保存功能（点击左键保存图片，并暂停视频；右键继续视频）。-The realization of functions: simultaneous acquisition of two USB camera data, and display, has pictures of preserved function ( click the left button to save the image, and the right key to pa
RANSAC
- 提纯检测到的特征点的一个算法，可以和SIFT算法结合使用，去除一些误匹配的关键点，提高代码的执行效率-Purified feature points detected an algorithm that can be used in conjunction with SIFT algorithm to remove some of the mismatching of the key points to improve the efficiency of the implementation o
Method_01
- 利用OpenCV自带的cvMatchShapes方法进行轮廓匹配。可手动设置输入的两幅图像。程序中有对程序的注释和关键逻辑步骤的解释，该程序为轮廓匹配方法提供一定的思路，需要VC6.0+OpenCV_1.0-Contour matching using the cvMatchShapes method with the OpenCV. Two images manually set the input. Notes on procedures and key steps in the inter
Method_02
- 利用OpenCV自带的cvMatchContourTrees方法进行轮廓匹配。需要先调用cvCreateContourTree方法创建轮廓树，程序中有对程序的注释和关键逻辑步骤的解释，该程序为轮廓匹配方法提供一定的思路，运行环境为VC6.0+OpenCV_1.0 -Contour matching using the cvMatchContourTrees method with the OpenCV. Need to call the cvCreateContourTree method
opencvsift
- SIFT 算法提取图像局部特征， 成功应用于物体识别、图像检索等领域。SIFT 算法主要分为四个步骤： 检测尺度空间极值点、精确定位极值点、为每个关键点指定方向参数、关键点描述子的生成。-SIFT algorithm to extract local image features, successfully applied to object recognition, image retrieval and other fields. SIFT algorithm is divided into
keyframe
- 视频关键帧提取。全阈值算法找到每个镜头的关键帧并保存-Video key frame extraction.Using threshold algorithm to find key frames in every scene and save them.
shoushishibie
- 手势识别代码，基本的入门代码。和适合基本的初学者，能提取视频序列，并进行处理识别。-gesture recognition，Hand gesture recognition has become one of the key techniques of human-computer interaction HCI.
opencv-Optical-
- LK稀疏光流Demo可以在场景中自动找出关键点并自动跟踪-LK Sparse Optical Flow Demo automatically identify the key points in the scene and automatically track
openCVdaoyaojiance
- 针对弹药图像测量系统的实现,提出了设计方案并对其中的关键技术进行了介绍 在硬件选型中,对工业相机及镜头、光源和照明系统、以及运动控制部分等核心硬件的选型进行了介绍 在软件编写过程中,对本系统中上位机驱动编写、摄像机自动聚焦、摄像机标定及目标识别和检测等关键技术做了简要介绍 最后,对本系统进行了实验验证,验证结果表明,该系统设计方案可以满足普通弹药参数测量实际应用需要,且系统重复测量精度最高可达到0.1像素。-Ammunition for the realization of image meas
SIFT_Detector
- original SIFT detector code for detecting key-points in single image.
watershed
- 基于opencv实现分水岭算法的图像分割程序，在图像的不同区域画线，然后按w键运行算法，就可得到分割图像。-Image segmentation based on opencv achieve watershed algorithm procedures, in different areas of the image line drawing, and then press the w key operation algorithm, image segmentation can be obt
tracking
- 目标跟踪代码。关键字：均值漂移、卡尔曼滤波、颜色直方图、边缘方向直方图-Codes of object tracking.key words:mean shift,kalman filter,color histgram,edge direction histgram.
Machine-vision
- 一本描述影像测量，机器视觉应用不错的书籍，里面介绍了机器视觉测量的关键点，图文并茂，是一本不错的入门书籍。-A descr iption of the image measurement, machine vision applications good books, which describes the key points of the machine vision measurement, illustrated, is a good introductory books
Key-frame-extraction
- 数字视频应用技术，基于opencv的边缘检测与关键帧的提取和保存-Application of digital video technology, extraction and preservation of OpenCV edge detection and key frame based on
Description-and-extract-key-points
- 关键点描述和提取：SIFT配合暴力匹配进行关键点的描述和提取。-Descr iption and extract key points: SIFT violence with matching descr iption and extract key points.