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这是用c#实现的david low的sift(尺度不变特征点变换算法)特征检测,面向对象的实现代码写的十分的好,是图形图象学习的好资料
-This is the realization of c # david low sift the (scale-invariant feature points transform algorithm) Feature detection, object-oriented code written in achieving very good, is s
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使用LABVIEW语言编程,实现对图片中物体的边缘检测,适用于各种元件图片物体的边缘检测。-LABVIEW programming language used to realize the edge detection of objects in images for various components of the edge detection image object.
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智能交通监视系统中基于边缘的运动目标提取算法
本文的算法是基于C++和OPEN CV实现的,要运行此程序首先要安装这两个软件
由于本文在采集图像时用到的视频图像较大 ,要100多兆,所以演示程序采用另一个视频,以观其效果
本程序中采用视频序列的前四十帧的奇数帧提取出背景边缘,用参数backframes来控制,backframes/2
即是采用的帧数。
cedge_thresh1和cedge_thresh2来控制做背景检测是用到的CANNY算子的两个阈值。
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这片论文描述了动态物体的特征跟踪,用到了15个框架。拥有很强的适应性和跟踪能力。作为人脸识别,模式识别,动态跟踪的开发人员,有很好的参考价值。用c++编写,如果用OpenCV更好-This paper describes a visual object detection framework that is capable of processing
images extremely rapidly while achieving high detection rates. There ar
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进行图像中的目标检测,快速版本,包括窗口设置,窗口自适应等-object detection in images
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In this paper, a novel scale- and rotation-invariant interest point detector and descr iptor, coined SURF (Speeded Up Robust
Features) is presented. It approximates or even outperforms previously proposed
schemes with respect to repeatability, di
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Detecting, identifying, and recognizing salient regions or feature points
in images is a very important and fundamental problem to the computer vision
and robotics community. Tasks like landmark detection and visual odometry,
but also object re
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本实验软件开发,使用Microsoft Visual C++ 6.0,Camera所撷取的影像经由USB接口传送回个人计算机,使用微软公司所提供的利用VFW(Video for windows)SDK,VFW SDK为在Windows 系统中实现视讯撷取提供了标准的接口,利用其中的影像撷取公用函式将Camera所撷取到的影像撷取至内存中以进行影像处理。异常侦测流程,首先会先撷取正常状态下的环境影像,建立标准对照影像。当环境有异常时,所撷取之影像产生变化,与标准对照产生差异,比对后应可侦测异常状态
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This paper will attempt to analyze and compare a number of different existing
approaches to human detection in video. Even though there have already been
a number a papers written on the topics of skin and face detection this paper
will go beyo
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We release here software for human upper body detection in still images.
This release is a more portable and better performing replacement for the detector in [3].
It is based on the successful part-based object detection framework [4].
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We present an object class detection approach
which fully integrates the complementary strengths offered
by shape matchers. Like an object detector, it can
learn class models directly from images, and can localize
novel instances in the prese
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This paper introduces the Located Hidden Random Field
(LHRF), a conditional model for simultaneous part-based detection and
segmentation of objects of a given class. Given a training set of images
with segmentation masks for the object of inter
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自己编的小波图像融合代码 直接matlab可以运行-----------------图像融合以图像作为研究和处理对象,是一种综合多个源图像信息的先进图像处理技术,它把对同一目标或场景的多重源图像根据需要通过一定的融合规则融合成为一幅新图像,在这一幅新图像中能反映多重源图像中的信息,以达到对目标或场景的综合描述,以及精确的分析判断,有效地提高图像信息的利用率、系统对目标探测识别的可靠性及系统的自动化程度。其目的是集成多个源图像中的冗余信息和互补信息,以强化图像中的可读信息、增加图像理解的可靠性等。
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一个基于布尔图的显著性检测模型这个模型利用了全局拓扑测度,这一拓扑测度已经被证明了有助于感知的图形-背景分割。如格式塔心理学研究表明,如下因素很可能会影响图形-背景分割:大小,surroundedness,convexity, symmtry。本文研究surroundedness cue在显著性检测中的应用。 surroundedness的本质是图形和背景之间的enclosure topological relationship,能够被很好地定义,并且对不同的变化具有不变性(不懂)。 为了衡量s
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海岸线检测对海洋资源管理,目标识别有重要作用,本文主要研究海岸线检测-Shoreline detection of marine resource management, object recognition has an important role, the main research coastline herein detection
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一种机器视觉的物体检测算法,是一种先进物体检测算法,全英文描述.讲述一种机器视觉的物体检测算法的实现-his paper describes a visual object detection framework that is capable of processing images extremely
rapidly while achieving high detection rates. There are three key contributions. The fi r
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图像的边缘是图像的最基本特征。边缘蕴含了丰富的信息,能描绘出目标物体,令观察者一目了然,是人们最感兴趣的图像特征之一。与灰度图像进行比较,彩色图像可以提供更为丰富的信息,彩色图像的边缘检测也日益受到人们的重视。本文是在灰度图像的检测基础上,利用经典的灰度图像检测算法对彩色图像各个分量进行边缘检测,再将结果进行合并,从而得到彩色图像的边缘检测结果。-The edge of the image is the most basic feature of the image. Edge contains
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This toolbox is meant to facilitate the manipulation of images and video in Matlab. Its purpose is to complement, not replace, Matlab's Image Processing Toolbox, and in fact it requires that the Matlab Image Toolbox be installed. Emphasis has been pl
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方向梯度直方图(Histogram of Oriented Gradient, HOG)特征是一种在计算机视觉和图像处理中用来进行物体检测的特征描述子。它通过计算和统计图像局部区域的梯度方向直方图来构成特征。Hog特征结合SVM分类器已经被广泛应用于图像识别中,尤其在行人检测中获得了极大的成功。需要提醒的是,HOG+SVM进行行人检测的方法是法国研究人员Dalal在2005的CVPR上提出的,而如今虽然有很多行人检测算法不断提出,但基本都是以HOG+SVM的思路为主(The Histogram
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运动目标检测Object Detection and Recognition in Digital Images Theory and Practice(Object Detection and Recognition in Digital Images Theory and Practice)
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