搜索资源列表
car-HOG1
- 这是SVM+HOG特征训练的路面卡口车辆的检测与识别。本程序识别率达到90 。-This is SVM+HOG feature bayonet training road vehicle detection and recognition. The program recognizes the rate of 90 .
SIFT_demo
- SIFT算法的相关实现 自己用matlab写的sift特征点检测与匹配程序，运行能通过-SIFT algorithm related to realize their written with matlab sift feature point detection and matching program, run through
HOG12
- HOG特征的实现的，只要用于行人的检测,静态效果比较好些的-HOG features to achieve, as long as for pedestrian detection, static effect is somewhat better in
AdaBoost_TrainData
- 这份代码是使用haar+adoboost做人脸检测用的，文件中还包括其他的特征选择，特征提取的算法，对于想做人脸检测这一块的朋友，可以下载来研究。-This code is used haar+adoboost human face detection, the document also includes other feature selection, feature extraction algorithm for face detection which one wants a frie
real-time-facedetection-and-tracking
- 本文运用haar特征分类，对人脸进行动态的检测和跟踪，经过试验对比可以发现效果很好，识别率较高-This paper uses haar feature classification, human face detection and tracking of dynamic, contrast can be found through the test with good results, the recognition rate is higher
keypointExtraction
- harris角点检测的源代码,利用算法提取特征点。-harris corner detection of the source code, the use of algorithms to extract feature points.
fanke
- 本仿真文件是故障电弧的数学模型的仿真文件，能有效的放着出故障电弧的基本特征，为故障电弧检测的研究提供了方向-This document is arc fault simulation mathematical model simulation files, which can effectively lay out the basic characteristics of fault arc, arc fault detection for the study provides directio
Untitled_1
- 人脸识别算法分类 基于人脸特征点的识别算法（Feature-based recognition algorithms）。 基于整幅人脸图像的识别算法（Appearance-based recognition algorithms）。 基于模板的识别算法（Template-based recognition algorithms）。 利用神经网络进行识别的算法（Recognition algorithms using neural network）。 基于光照估计模型理论
HOGCamshiftTrack
- Camshift跟踪方法，采用HOG特征，对运动目标进行检测跟踪-Camshift tracking method, using HOG features, the moving target detection and tracking
wenlixiufu
- 纹理特征分析及其在图像处理中,运动分析的意义运动目标检测是图像处理技术与计算机视觉领域中-Texture feature analysis and its application in image processing, the movement analysis of the significance of the moving target detection is in the field of image processing and computer vision
Visual-CPP-
- 有MFC框架的图像处理代码，可以实现图像显示，图像增强，图像复原，图像变换，图像编码，图像配准，运动检测，特征提取，图像分割，图像识别等功能-There MFC framework of the image processing code, you can realize image display, image enhancement, image restoration, image transform, image coding, image registration, motion de
FaceDetect
- 人脸检测与特征定位，先做完人脸检测才能标注特征，在人脸检测区域可以进行二值化图像，相似度计算等操作，在特征标注区可以完成边缘提取，标记人脸器官操作-Face detection and feature location, perfect face detection to do first annotation feature, the face detection area in the binarized image can be performed, similarity calculat
asmpointtool
- asm人脸特征点标定辅助工具，核心为利用ASM算法检测人脸特征点，可以通过鼠标和键盘来选择和移动调整特征点，鼠标点击选取特征点，a w s d控制特征点移动。-asm facial feature point calibration aids, the core for the use of ASM algorithm detects facial feature points, via mouse and keyboard to select and move the adjusted cha
LBP
- 在数字图像处理和模式识别领域，LBP指局部二值模式，是一种有效的纹理描述算子，度量和提取图像局部的纹理信息，对光照具有不变性。本程序是LBP算子在C++&opencv平台下的实现，可以实时检测图像的纹理特征。-In digital image processing and pattern recognition, LBP represents local binary patterns, is an effective texture descr iption operator, measure
4
- 本文主要研究海面运动船只的识别与跟踪技术。首先概述了海上运动目标检测和跟踪的研究现状；对目前主要的显著区域提取、运动目标识别和跟踪方法进行了简要概述；提出了基于视觉注意和HOG特征相融合的海上船只目标检测方法；利用多特征融合的粒子滤波算法对运动目标进行了跟踪。-This paper studies the sea sport vessel identification and tracking technology. First, an overview of maritime moving t
csd_of_communication_signals
- 循环谱检测算法仿真实例，内含三个文件，实现了多进制调制环境的四阶循环累量特征分析-Cyclic spectrum detection algorithm simulation example, contains three files, to achieve a multi-band modulation environmental characteristics of fourth-order cyclic cumulant analysis
facedetect
- 利用android手机摄像头拍照，并用haar特征法对拍摄的照片进行人脸检测-Use android phone camera to take pictures and characteristic method using haar photographs for face detection
HaarPclassifiers
- 利用vs2008编写的利用haar特征分类器实现的人脸检测程序-Use vs2008 prepared by the use haar feature classifier implemented face detection process
SUSAN-keypointExtraction
- SUSAN算法角点检测算法，用于提取图像角点以及特征线-SUSAN algorithm corner detection algorithm for extracting image corners and characteristic lines
SURF
- surf特征点检测，并实现两幅图像特征点的匹配-surf feature point detection, and the two images matching feature points