搜索资源列表
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物体识别算法SIFT的研究sift算法的特征提取和匹配-Sift algorithm of object recognition algorithm SIFT feature extraction and matching
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基于opencv运动物体识别与跟踪的完整算法,进入主程序后须自己修改视频存放路径参数。-Complete algorithm based the opencv movement object recognition and tracking, into the main program have to modify the video storage path parameters.
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基于kinect的一个综合应用,其中包含了基于颜色的目标识别,kinect平台的俯仰程序,手势识别,骨骼识别,具有较好实用性。-Based on a comprehensive application kinect, which contains a color-based object recognition, kinect platform pitching program, gesture recognition, bones identified, with good usability
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SIFT 算法提取图像局部特征, 成功应用于物体识别、图像检索等领域。SIFT 算法主要分为四个步骤: 检测尺度空间极值点、精确定位极值点、为每个关键点指定方向参数、关键点描述子的生成。-SIFT algorithm to extract local image features, successfully applied to object recognition, image retrieval and other fields. SIFT algorithm is divided into
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图匹配的RRWM方法。图匹配可用于目标识别,模式识别。-Graph matching RRWM method. Graph matching can be used for object recognition, pattern recognition.
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Unsupervised Statistical Models for General Object Recognition
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基于PCL识别模型的3D物体识别源码。-This tutorial aims at explaining how to perform 3D Object Recognition based on the pcl_recognition module.
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基于Opencv1.0的帧差法目标识别,效果不是很好,但具有一定的实时性。-Opencv1.0 frame difference method based object recognition, the effect is not very good, but has some real-time.
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基于灰度直方图的辨识前方物体的算法,通过此算法可辨识出前方物体。-Object recognition algorithm based on histogram ahead through this algorithm can identify the object in front.
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Theme: Object recognition using Geometric Properties(area, perimeter,circularity,etc) . In order to obtain the results the project was implemented using C++ and the tool C++Builder. For every geometric feature has been created a method that return a
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SIFT(Scale Invariant Feature Transform)即尺度不变特征变换,是 D. G.Lowe 在 1999 年提出的一种基于图像局部特征的描述算子,并于 2004年做了完善。SIFT算法是一种基于线性尺度空间,对图像缩放、旋转甚至仿射变换保持不变的局部特征描述算子,因此被广泛地应用于机器人定位、导航和地图生成中。-This paper presents a method for extracting distinctive invariant features fro
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实验室同学写的一个目标识别的程序,包含了目标识别的各个环节,希望的图像处理专业的同学有所帮助-Lab students write a target identification procedures, including all aspects of object recognition, image processing professionals want to help students
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Matlab在图像处理与目标识别方面 很好的资料
-Matlab in image processing and object recognition on good information
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sift算法的matlab实现,作者Lowe的源码,用于目标识别-sift algorithm,run by matlab,produced by Lowe,for object recognition.
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数字图像处理在人们的生活中无处不存在着它的影子,是非常流行热门的技术之一,可以说它是一种每时每刻都在改变着人类生活的技术。人们对于物体的识别主要针对于物体的外形,图像分割目的是对图像中有意义的特征部分进行提取,所谓有意义的特征包括图像中物体的外形边缘和区域等。本文主要针对其中的一个传统而经典的分割方法Hough变换而展开。Hough变换实现的是一种从图像空间到参数空间的映射关系,具有对抗噪声的鲁棒性以及在图像中的不连续性等优点,通过它构建的参数空间可以容易地对特定形状,如直线、圆等解析曲线进行判
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数字图像处理在人们的生活中无处不存在着它的影子,是非常流行热门的技术之一,可以说它是一种每时每刻都在改变着人类生活的技术。人们对于物体的识别主要针对于物体的外形,图像分割目的是对图像中有意义的特征部分进行提取,所谓有意义的特征包括图像中物体的外形边缘和区域等。本文主要针对其中的一个传统而经典的分割方法Hough变换而展开。Hough变换实现的是一种从图像空间到参数空间的映射关系,具有对抗噪声的鲁棒性以及在图像中的不连续性等优点,通过它构建的参数空间可以容易地对特定形状,如直线、圆等解析曲线进行判
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This paper aims to present a survey of object recognition/classification methods based on image moments. We review various types of moments (geometric moments, complex moments)
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用深度学习做的机械抓取的目标识别,对桌面上的问题进行检测并识别出抓取的区域以及抓取方式-Learning to do with the depth of the object recognition mechanical crawl on the issues on the desktop to detect and identify the areas and crawl crawl way
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SIFT 特征提取 简单实用 可用于人脸特征分析以及其他物体识别领域-SIFT feature extraction is simple and practical facial feature can be used for analysis, and other areas of object recognition
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SURF Feature is an algorithm that is used in the object recognition please see the source code
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