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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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该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。-This is a source about motion object tracking, including foreground modeling,object detection,o
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用于图像精确匹配以及目标检测的SIFT算法-Sift algorithm matlab version for object detection and image match
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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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《DragonEye Fast Object Tracking and
Camera Motion Estimation》DragonEye是一个基于目标直接浏览的视频播放系统。比Dimp和Dragon来说具有实时性-Recently, multiple research groups proposed the concept of direct manipulation,
which makes the task of navigation in videos directly rel
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Scale Invariant Feature Transform (SIFT) has shown to be very powerful for general object detection/recognition. And recently, it has been applied in face recognition. This is the matlab code.
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本系统中VIS欠缺的SIFT_VC.lib文件。。。
http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html-This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library
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sift的详细介绍，主要步骤是：1.关键点检测2.关键点描述 3.关键点匹配 4.消除错配点。物体识别的必备资料
-sift the details, the main steps are: 1. The key point detection (2) describe key 3 key match 4 to eliminate the mismatch point. Essential information on object recognition
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sift algorithm for detection of object even in different orientations
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利用OpenCV的库，实现基于SIFT的特征检测和匹配，匹配好两个图像的同一物体，并在第二张图像上框出来第一个图像中的物体-Using OpenCV library that implements the SIFT-based feature detection and matching, matching two images of the same object is good, and in the second picture on the box out of the first ob
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Scale Invariant Feature Transform (SIFT) is mainly invariance to various image transformation including rotation,scale and illumination changes. First, the video is converted into frames. key frames are extracted video. SIFT is mainly used for objec
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基于 sift和ransac 实现目标检测和定位(obtaining object detection and position recognition based on sift and ransac)
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