Description: 利用矩特征可以从二维图像识别三维目标,4阶矩的图像峰值反映了目标的形状,为了使它具有平移、比例和旋转不变性,作者对其进行了归一化处理。-use Moments from the three-dimensional two-dimensional image recognition, four bands peak moments of images reflect the shape of the target, In order to give it scale, translation and rotation invariant, the author of its normalized treatment. Platform: |
Size: 142336 |
Author:王城 |
Hits:
Description: 对输入图像进行预处理后提取目标轮廓，经过归一化处理得到目标形
状的平移、尺度不变的链状表达，再通过小波变换进行多尺度分析；引入Zernike 矩，利用Zernike
矩的特性，实现小波表达的旋转不变性，解决了小波变换对起始点的依赖。-right to import images from pretreatment profile targets, after processing to be a target shape translation, The scale-invariant chain expression, and through the wavelet transform multi-scale analysis; introduction Zernike moment, use Zernike moments, wavelet achieve expression of rotation invariance, solve the wavelet transform the dependence of the threshold. Platform: |
Size: 1263616 |
Author:李杰 |
Hits:
Description: 用转动惯量进行平移，旋转，尺度不变识别，有这方面兴趣的朋友不妨看看相关知识-with inertia for translation, rotation, scale-invariant recognition, the interest in this area may wish to see a friend related knowledge Platform: |
Size: 51200 |
Author:fanrainsing |
Hits:
Description: 旋转不变子空间类算法是空间谱估计中的典型算法，它也是特征分解类算法-Rotation-invariant subspace type algorithm is the space of a typical spectral estimation algorithm, it is also eigen-decomposition algorithm Platform: |
Size: 1024 |
Author:马连达 |
Hits:
Description: 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。该程序为sift的演示程序-SIFT algorithm is a local feature extraction algorithms, in scale space to find extreme points, extract the location, scale and rotation invariant. Sift the program for the demo program Platform: |
Size: 1472512 |
Author:王云云 |
Hits:
Description: 在Matlab中实现基于旋转尺度不变特征提取特征点的方法。-Matlab implementation of the rotation based on scale-invariant feature extraction method of feature points. Platform: |
Size: 2634752 |
Author:quanshuiwusheng |
Hits:
Description: 实现纹理模式的LBP特征表示及分类。
实现一种基于局部二值模式LBP（Local Binary Pattern）的多分辨率灰度尺度及旋转不变性的纹理分类方法-LBP texture model to achieve that as well as the breakdown characteristics. The realization of a model based on local binary LBP (Local Binary Pattern) Multiresolution gray-scale and rotation invariant texture classification Platform: |
Size: 3072 |
Author:张阳军 |
Hits:
Description: ShapeContext的著名demo
结合介绍对shapecontext有较好的理解-Demo for shape context, a famous descriptor for keypoints matching, which has rotation and scale invariant. Platform: |
Size: 93184 |
Author:桑基韬 |
Hits:
Description: 利用LBP纹理模型进行纹理分类，其论文<..Rotation Invariant Texture Classification using LBP Variance (LBPV) with Global Matching>发表在2009年Pattern Recognition，效果很不错。-Texture classification by LBP texture model. The related paper <..Rotation Invariant Texture Classification using LBP Variance (LBPV) with Global Matching> has been published in Pattern Recognition 2009. Platform: |
Size: 12288 |
Author:宁纪锋 |
Hits:
Description: A new approach for fingerprint verification, based on wavelets and pseudo Zernike moments (PZMs), is
discussed. PZMs are robust to noisy images, invariant to rotation and have a good image reconstruction
capability [4]. PZMs have been used for global analysis and so they are used to extract global features (the
shape of the fingerprint image). Wavelets are good at local analysis and so they help to extract local
features (minutiae) from a fingerprint. Therefore, this hybrid approach extracts most significant features
from the fingerprint images and achieve better verification rate. Different types of wavelets are used for the
study but the result shows that Symmlet orthonormal wavelet of order 8 gives best verification rate. Platform: |
Size: 386048 |
Author:samira |
Hits:
Description: 旋转不变非刚性的图像匹配 。代码为matlab源码，代码注释详细，可以通过代码上的链接找到原始文献，以作详细学习-Rotation-invariant non-rigid image matching. Matlab source code, code comments in detail, you can find links to the original code on the literature, for detailed study Platform: |
Size: 320512 |
Author:joe |
Hits:
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 |
Hits:
Description: 文件夹包括：经典MUSIC算法、基于波束空间的MUSIC算法、Root-Music算法、前向平滑MUSIC算法、后向平滑MUSIC算法、双向平滑MUSIC算法、奇异值算法、线性预测算法及旋转不变子空间算法等，是学习空间谱估计的很好例程(Folders include: classical MUSIC algorithm, beamspace-based MUSIC algorithm, Root-Music algorithm, forward smoothing MUSIC algorithm, backward smoothing MUSIC algorithm, bidirectional smoothing MUSIC algorithm, singular value algorithm, linear prediction algorithm and rotation invariant subspace algorithm. They are good examples of learning space spectrum estimation.) Platform: |
Size: 14336 |
Author:zhouguoxian |
Hits:
Search - rotation invariant matlab