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基于HOG的行人检测，作者的源代码有错误，现代码已经进行了改变，并可以调试通-Histograms of Oriented Gradients for Human Detection, the writer s code has some errors, and I have correct the errors, and the code is right under C++ buidler
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指南针边缘检测算法是当前质量最高的边缘检测方法，比CANNY算子效果还要好。具有边缘定位准确，边连续，完整的特点。程序能够得到每一个像素的边的朝向，有利于做进一步的优化应用，例如图像分割等。具体算法过程可参考斯坦福大学麦克博士发表的论文。主要思路就是以每个像素为中心，像罗盘一样转动边，一直找到两边差异最大的朝向。最后把所有的最优朝向连起来成为边缘。
代码用VC驱动，核心部分用matlab编写-Compass edge detection algorithm is currently the
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实现人脸检测以及眼、嘴的定位，方法主要是肤色检测、腐蚀、膨胀等-Face detection, as well as the realization of eyes, mouth orientation, methods, mainly color detection, corrosion, swelling, etc.
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提出了基于边缘检测的二值化与扫描线相结合的车牌定位方法。实验表明该方法能够快速、准确地定位车牌,且抗干扰能力强,定位准确率在99 以上,光照和天气对其定位结果影响很小。-Edge detection based on the value of the second scan line and a combination of license plate location method. Experiment results show that the method can quickly and
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使用boosting,edge orientation histogram和cascade算法实现face detection的文章。解决了使用小数据库训练系统和区分肖像画的问题。-The use of boosting, edge orientation histogram and the cascade algorithm face detection article. Solution using a small database, training systems and the dis
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图像分割,阈值分析,水平垂直方向投影检测,差影检测,模板匹配-Image segmentation, threshold analysis, horizontal and vertical orientation projection test, and poor shadow detection, template matching
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近年来，面部识别技术已经备受关注，其研究已迅速，因为它有许多在计算机视觉通讯和控制系统，自动存取的应用潜力。特别是，人脸检测是一种面部识别作为自动人脸识别第一步的重要组成部分。
然而，人脸检测并不简单，因为它需要用到许多技术，如构成变化（前，非前），闭塞，形象定位，照明条件和面部表情的变化-In recent years, face recognition technology has been concern that its research has rapidly because it
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An autonomous robot performs without any external control from a human operator. The main components involved in the operation of an autonomous robot are visual detection of the environment, path planning and controls. Path planning has been defined
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opencv环境下利用vc
++实现人脸的检测和轮廓定位-opencv environment using vc++ implementation of face detection and contour orientation
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利用OpenCV实现了条码方向的检测和条码的校正，内含测试图片-OpenCV achieved using bar code detection and bar code orientation correction
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边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡-Edge feature extraction is to seek the local maximum of image gradient and ori
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Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system,
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This code is a complete fingerprint core point detection. It uses orientation field for singular point detection and Zhang-suen algo. for thinning in preprocessing part
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视觉太阳方位检测装置的设计Visual design of solar orientation detection device-Visual design of solar orientation detection device
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图形的基本处理程序，用c语言实现256色转灰度图-Image detection and recognition algorithms, are interested to do the image orientation detection and recognition are very useful
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图像梯度方向直方图（HOG)特征基础上云模型运动目标检测算法,提出HOG特征为基础的均值漂移算法
-Moving target detection algorithm of image gradient orientation histogram (HOG) features based on cloud model proposed HOG feature based on mean shift algorithm
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提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一
条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们
的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上
进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能
够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性-A line seg
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当前室内磁导航技术的翘楚公司IndoorAtlas的产品和原理-IndoorAtlas location technology is partly inspired by evidence that animals use the Earth’s magnetic field
not only for orientation detection but also for true navigation
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PIC16F写的si4432主机程序，RSSI已经测试可用，接收数据包已测试可用可以用于物体方位检测，包大小可自定义。-PIC16F write si4432 host program, RSSI has been tested is available, can be used to receive data packets have been tested can be used for object orientation detection, packet size can be cus
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Pattern recognition and Gesture recognition are the growing fields of research. Being a significant part in non verbal communication hand gestures are playing vital role in our daily life. Hand Gesture recognition system provides us an innovative,
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