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Standard model object recognition matlab code-Standard model object recognition Matlab code
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daisy descr iptor, dense fast for object recognition,daisy descr iptor, dense fast for object recognition
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开源计算机视觉目标识别代码,里面的内容非常详细,而且注释很清晰-a very famous open source computer vision code for object recognition
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基于PCNN的特征提取,PCNN用于特征提取时,具体平移、旋转、尺度、扭曲等不变性,这正是许多年来基于内容的图像检索系统追求的目标,同时PCNN用于特征提取时,有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究,具有提取图像形状,纹理,边缘的属性。用PCNN能很好地对图像进行签名,将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an
important preprocessing stage in ma
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我的本科毕业设计程序,包括了基于脊波小波分解和整数小波分解的小目标识别。-My undergraduate graduate design program, including the ridge wave based on wavelet decomposition and integer wavelet decomposition of small object recognition.
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用于目标识别的线性辨别分析主程序,尤其是多目标识别的应用。-Target identification for the linear analysis to identify the main program, in particular, many object recognition applications.
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去除彩色图像中的阴影,以便于图像分割,物体识别以及跟踪-To remove the shadow of color images in order to facilitate the image segmentation, object recognition and tracking
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基于bp神经网络的车牌识别系统 神经网络部分训练有待提高-The design of intelligent transportation systems for applications such as electronic toll,traffic flow analysis,speed Limit and red light violation enforcement has been attracted an increasing attention from researchers.I
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Object recognition application for identifying similar objects corresponding to input image
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3d图像识别的英文文章,推荐图像识别的朋友参考下-3d image recognition of the English article, a friend recommended to identify a reference image under the
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遥感图像的多光谱目标识别,相似度方法实现分类-The multi-spectral remote sensing image object recognition, similarity classification method
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计算机视觉的基本任务之一是从摄像机获取的图像信息出发计算三维空间中物体的几何信息,并由此重建和识别物体。这两者之间的关系就是由摄像机的几何成像模型来决定,即由摄像机的参数来决定。实现了张正友和tasi的matlab标定程序!-The basic tasks of computer vision is one of the images from the camera to obtain information from the calculation of three-dimensional g
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一种snake算法实现轮廓跟踪,可用于图像分割、目标识别等图像处理相关领域。-Of a snake contour tracking algorithm can be used for image segmentation, object recognition and other image processing related fields.
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It is my thesis report. adaptive based object recognition in massive environment.
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DOG高斯差分实现物体识别中的特征提取,对不同尺度空间的图像进行差分,从而获得描述物体的特征值-difference of gaussian to achieve the feature point exaction of object recognition
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静止背景下运动目标检测,采用帧间差分的方法进行运动目标识别-Static background motion detection, frame difference methods using Moving Object Recognition
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此文的目的有三个:第一,当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次,注册稀疏Winnows网络分割,提出了加快原分类。最后,特点和分类相结合对于正面人脸检测任务。检测结果列
为MIT + CMU系统和BioID数据库。关于这人脸检测器,接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabce
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complete object recognition matlab code
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这是MATLAB在图像处理与目标识别的应用(This is the application of MATLAB in image processing and object recognition)
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