Description: function Invariant_Line_Feature_Matching
___DESCRIPTION___
Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? )
Example :
Invariant_Line_Feature_Matching ( )
___REFERENCE___
Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach
Park, Lee, Lee - Ideal - CV and Im. Und. - 77, 263-283 - (2000)- function Invariant_Line_Feature_Matching
___DESCRIPTION___
Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? )
Example :
Invariant_Line_Feature_Matching ( )
___REFERENCE___
Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach
Park, Lee, Lee- Ideal- CV and Im. Und.- 77, 263-283- (2000) Platform: |
Size: 27648 |
Author:Mehmet |
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Description: 这是一个用MATLAB代码实现的一个关于图像的特征描述子的提取 以及相应特征点进行匹配的代码 可用于图像识别 或者立体匹配。-This is a MATLAB code with a descriptor on the image feature extraction and matching feature points in the corresponding code can be used for image recognition or stereo matching.
This directory contains compiled binary programs for finding SIFT
invariant features that can run under Linux or Windows. In addition,
there is a Matlab script as well as C source code showing how to load
the features and do simple feature matching. Platform: |
Size: 396288 |
Author:peter |
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Description: 1 SIFT 发展历程
SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。
2 SIFT 主要思想
SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。
3 SIFT算法的主要特点：
a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。
b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。
c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。
d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。
e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。
4 SIFT算法步骤：
1） 检测尺度空间极值点
2） 精确定位极值点
3） 为每个关键点指定方向参数
4） 关键点描述子的生成
本包内容为sift算法matlab源码-1 SIFT course of development
SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement.
2 the SIFT main idea
The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant.
3 the main features of the SIFT algorithm:
a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability.
b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23].
c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors.
d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements.
e) The scalability can be very convenient fe Platform: |
Size: 2831360 |
Author:李青彦 |
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Description: David G.Lowe的SIFT算子 Matlab实现，运行前要把siftWin32文件放在Matlab的win目录下，具体调用请参照README-
code for detecting and matching SIFT features
David Lowe (lowe@cs.ubc.ca)
Version 4, July 6, 2005
This directory contains compiled binary programs for finding SIFT
invariant features that can run under Linux or Windows. In addition,
there is a Matlab script as well as C source code showing how to load
the features and do simple feature matching.
See the web page at
http://www.cs.ubc.ca/~lowe/keypoints/
for references to the relevant papers describing this approach. Platform: |
Size: 371712 |
Author:将为人父 |
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Description: 使用matlab实现智能预测控制算法，结合PCA的尺度不变特征变换(SIFT)算法，有PMUSIC 校正前和校正后的比较，pwm整流器的建模仿真，具有丰富的参数选项,粒子图像分割及匹配均为自行编制的子例程。- Use matlab intelligent predictive control algorithm, Combined with PCA scale invariant feature transform (SIFT) algorithm, A relatively before correction and after correction PMUSIC, Modeling and simulation pwm rectifier It has a wealth of parameter options, Particle image segmentation and matching subroutines themselves are prepared. Platform: |
Size: 7168 |
Author:mzacua |
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Search - invariant feature matching matlab