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shape from shading
- face detection using matlab
Pedestrian Detection and Tracking for Counting Applications
- This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and
PeDetect.rar
- 视频图像中，行人检查的源代码。利用人体形状特征做特征识别。利用运动物体检测得到初始识别区域。,Video images, pedestrian check the source code. Characteristics of the human body shape to do feature recognition. Detection of moving objects using the region to be the initial identification.
BezierOPENCV
- opencv人物形状检测 Video Retrieval System 视频分类与检索，世界trieckvid大赛使用参考-opencv shape detection Video Retrieval System characters video classification and retrieval, with reference to the World trieckvid Competition
Hand-Shape-Detection
- 讲述了harr-like特征，以及adaboost的训练方法-About harr-like features, and training methods adaboost
shapes-detect
- opencv shape detection code blocks
face_tracking_based_on_Camshift_and_morphology
- 基于kalman滤波和人脸形态约束的人脸跟踪算法实现，可在快速人脸跟踪的同时很好的去除类肤色的干扰，注意是基于OpenCV函数库的程序。-Based on kalman filtering and face shape Face Tracking bound algorithm may face in the fast track at the same time remove the category of very good color interference, the attention
RECTANGLE
- 一种快速的多边形和矩形检测算法，可以广泛的应用于各种目标识别领域-A fast polygon and rectangle detection algorithm can be widely used in various areas of target identification
EageDetect
- 数字图像的边缘检测是图像分割、目标区域的识别、区域形状提取等图像分析领域十分重要的基础，图像理解和分析的第一步往往就是边缘检测，目前它以成为机器视觉研究领域最活跃的课题之一，在工程应用中占有十分重要的地位。本文向读者简单介绍一下这个技术，并给出了在Visual C++环境下实现的代码。-Digital images are the edge detection image segmentation, target area identification, regional shape the f
cheliangshibie
- 本文是基于形状特征的车辆车型检测的论文，还包括基于颜色活其他特征的各种算法介绍。-This article is based on the shape characteristics of the vehicle detection paper models, but also other characteristics of living based on the color of the various algorithms introduced.
EdgeLecture2x4
- The Hough transform is a technique which can be used to isolate features of a particular shape within an image. Because it requires that the desired features be specified in some parametric form, the classical Hough transform is most commonly used fo
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
thomas-cvpr06
- Paper "Towards Multi-View Object Class Detection".We present a novel system for generic object class detection. In contrast to most existing systems which focus on a single viewpoint or aspect, our approach can detect object instances from arbitrar
YYPIC
- 黄色图片检测器 OurDev专用版 为了保护论坛网友幼小的心灵不受毒害，特推出,“黄色图片检测器 OurDev专用版 ” 大家可以用此检测器检测图片是否黄色图片，以决定是否继续欣赏。 但是，由于本人技术有限，时间仓促，本检测器有一定的误报率和漏报率。 功能缺陷：没有形状检测和艺术纤维检测。 需要安裝opencv1.0才可以編譯。 -Yellow picture detector OurDev special edition User Forum in ord
TriangleEdgeDetection.cpp
- This source code is very useful to detect the edge of triangle shape.It also can be applied to calculate the perimeter of triangle.
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
moje
- Hi, it s my still uncomplete version of shape detection using EMGU (wrapper for C# of openCV). Hope it can help you learning something.
peakdet
- Peak detection is one of the most important time-domain functions performed in signal monitoring. Peak detection is the process of finding the locations and amplitudes of local maxima and minima in a signal that satisfies certain properties. These pr
Image_Face_Detection_Technology_2D_shape
- 图像处理人脸2D形状检测技术Image Face Detection Technology 2D shape-2D image processing face shape detection Image Face Detection Technology 2D shape
presenttheradialsymmetrydetectorfordetectingspeeds
- 本文中，我们提出了检测速度标志探测器的径向对称性。我们评估一个内道路车载系统探测器本身。我们也评估其性能，并在我们的道路车辆运行线上证明。-Algorithms for classifying road signs have a high computational cost per pixel processed. A detection stage that has a lower computational cost can facilitate real-time process-