搜索资源列表
facedetection
- 肤色是人脸检测中基本的检测手段,此方法就是利用肤色实现人脸分割!-Face detection is the color of the basic means of detection, this method is the realization of human faces using color segmentation!
haarcascade_lefteye_2splits
- 人眼的检测,分类器,只有和opencv一起用才好使-Detection of the human eye, classifier, and only used to do so with opencv
renyandingweiyurenlianjiance
- 这是一个经过调试过的人眼定位和人脸检测算法的代码。-This is a debug-off position of human eyes and human face detection algorithm code.
face_detection
- this a human face detection program using color segmentation.i include some pics with it.-this is a human face detection program using color segmentation.i include some pics with it.
hog
- 鉴于目标的特征提取,一种采用HOG作为特征的行人检测方法-Histograms of Oriented Gradients for Human Detection
VCOPENCV
- VC与opencv环境下人脸角点检测与运动跟踪-VC environment with the opencv Human Face detection and motion tracking Corner
Humantracking
- 人体运动的检测与跟踪是目前计算机视觉领域中最活跃的研究方向之一,本系统介绍了一种用于视频监控的人体运动检测与跟踪系统,主要功能是对室内、室外固定背景下的运动人体进行检测,可以检测到运动的前景部分。-Human motion detection and tracking is the field of computer vision research, one of the most active, the system introduces a video monitor for human m
vc-imageprocessing
- 本光盘共包括三个工程,分别是用于实现数字图像基本处理算法的DimageProcess工程, 用于实现图像融合的PixelFusion工程和用于人脸识别的FaceDetection工程。 关于程序的运行, DImageProcess工程只需载入Bmp格式的文件,便可通过菜单实现各种处理算法, 需要强调一点,其只对256色格式的图片进行处理。 PixelFusion工程程序运行时,用户须载入两幅图片,其中全色图像选择给定的图片spot.bmp, 而多光谱图片则为给定的图片tm
facerecgnizesys
- 图象处理,边缘检测提取,定位特征区域对人面部进行识别-Image processing, edge detection extraction, Positioning human facial features of the region to identify
shuzituxianganli
- C++数字图像处理案例程序,包括几个系统的设计(人脸检测系统,运动检测系统等等)-C++ case of digital image processing procedures, including the design of several systems (human face detection system, motion detection systems, etc.)
hausdorff
- 摘 要: 提出了一种基于改进 Ha u s d o r f f距离的人脸相似度匹配的方法, 该方法首先将人脸划分为脸型、 双眼、 鼻、 嘴等几个特征点 集, 分别计算各部分的改进 Ha u s d o r f f 距离, 然后进行加权计算相似度。利用该方法, 在 A S M( 主动形状模型) 定位人脸的基础上进 行了人脸检索。 实验表明, 利用人脸相似度计算方法对人脸特征库进行搜索, 达到 了较好的效果。同时结合 A S M 自动人脸检测, 本 方法可以全自动完成人脸匹配, 应
Face_detectionEllipse_detection
- 都是用matlab写的,复制到txt上了 (1)基于简单背景的人脸监测,针对视频,效果还不错,传的是txt,大家新建一个M文件,复制,然后把视频名与程序中的改成一致就可以了。 (2)对多椭圆的检测,非实际图像,无噪声,就是简单的椭圆,使用同上。-Are written with matlab, copy to the txt on the (1) human face based on a simple background monitoring, for video, the resu
fice_color_build
- 肤色建模,利用图像处理理论,获取图像中的人肤色部分,可以应用多种人种-Skin color modeling, the use of image processing theory, to obtain images of the human skin section can be applied to a variety of ethnic
LocalAvatar
- 该算法完成了对人脸的提取和分析,基于皮肤色检测,很好的,检测了嘴的位置,眼睛的位置,和眉毛的位置,并根据他们的形态进行分析,已用来生成人脸的虚拟形象。有由于虚拟形象文件很大,有需要的可以和作者我单独联系-The algorithm completed the extraction and analysis of human face, based on skin color detection, very good to detect the position of the mouth, eye
FrontalSglFaceDetector
- 本人设计的单人正面双眼检测系统,对于大于60像素的人眼检测效果不错,中等大小图片平均检测时间不超过一秒,可用于与其他人眼检测系统效果的比对-I designed the front binocular single detection system, for more than 60 pixels in the human eye detection results good, medium-size picture average detection time is not more than
__How_to_B15116112112002
- This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure
W020091208627529831472
- 很好的关于运动人体检测、运动特征提取以及行为识别的论文,对模式分类入门很有帮助。-Very good on the movement of human detection, motion feature extraction and behavior identification papers useful for pattern classification entry.
HumanDetectionBasedonRectangleFitting
- 基于矩形拟合的人体检测 提出了一种在单幅图像中检测人体的新算法-Human Detection Based on Rectangle fitting in a single image presents a new algorithm for detecting human body
xyinying
- 背景差和帧差法实现运动人体的跟踪,具有搞噪声和消除大部分阴影功能-Background difference and frame difference method to achieve motion tracking of the human body, has engaged in the shadow of the noise and the elimination of most of the functionality
face_detect
- 基于肤色的人脸检测matlab程序,已经过调试,实现了人脸的检测,且检测准确率高-Face detection based on skin color matlab program, has been commissioning to achieve a human face detection, and the high rate of detection accuracy