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Description: The Phaselet Transform - An Integral Redundancy Nearly Shift-Invariant Wavelet Transform(2001).rar
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Size: 391041 |
Author: 晓波 |
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Description: The Phaselet Transform - An Integral Redundancy Nearly Shift-Invariant Wavelet Transform(2001).rar-The Phaselet Transform- An Integral Redundancy Nearly Shift-Invariant Wavelet Transform(2001).rar
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Size: 391168 |
Author: 晓波 |
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Description: 这是编译原理的源代码，涉及了编译原理的各个过程：词法分析，LL1语法分析，语义分析，中间代码生成，中间代码优化（常表达式优化，公共表达式优化，循环不变式优化），中间代码生成目标代码，目标代码的解释执行，详细地阐述了一个编译器的设计和实现。它是大纲教学，课程设计良好的示范，也是编程爱好者提高的好参考，其中这是LL1语法分析部分。希望尽早的开通我的帐号，和大家多多交流，成为热爱编程的好朋友。-this principle is to compile the source code, the compiler principles involved in various processes : lexical analysis, LL1 syntax analysis, semantic analysis and code generation and code optimization (regular expression optimization, public expression optimization, optimization loop invariant), intermediate code generation target code goal of the interpretation and implementation of code, described in detail a compiler design and implementation. It is the outline of teaching, curriculum design good model, as well as programming enthusiasts to raise a good reference, which is part of LL1 syntax analysis. Early hopes for the opening of my account, and we interact more, as a good friend who love programming.
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Size: 13312 |
Author: 江 |
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Description: FWT_Stat用信号的平稳位移计算二进小波正变换
MM2_DWT图像的二进小波变换的模极大-FWT_Stat using signal to the smooth displacement dyadic wavelet transform is the two images MM2_DWT Progressive wavelet transform modulus maxima
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Size: 20480 |
Author: cicinati |
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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
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Size: 51200 |
Author: fanrainsing |
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Description: 图像分割，具体算法参考一下论文
Zhi-Gang Tan， Xiao-Chen Heand Nelson H. C. Yung
A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation-Abstract
A novel joint region merging criterion combining region homo-geneity and boundary smoothness is proposed. Previous watershed segmentation method which utilizes region homogeneity or edge integrity or both gives good results in some cases. However, for complex scenes such as images of a vehicle with irregular roadside objects reflected on the window panes, it tends to give undesired segmentation results with region boundaries not residing on real physical boundaries. Aiming at improving the segmentation of these complex scenes, we propose the incorporation of an additional measure of boundary smoothness into a new joint criterion. Based on this, an affine transform invariant measure of the smoothness of boundaries is developed, which is the equivalent width of the energy distribution function over frequencies, obtained from Fourier descriptors of the boundary. Experimental results and evaluation are presented in this paper to demonstrate the merits of the proposed method.
Key
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Size: 9216 |
Author: Jack Tan |
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Description: 一种比sift效果更好的算法，可实现图像在几乎任意仿射变化下的特征提取，而且特征点比SIFT多，是09年最新的算法-asift, full name is the affine scale-invariant feature transform, that is, of scale-invariant features of affine transform, is used to extract more of the characteristics of affine distortion of the same region, a method useful for all of us believe that ~ ~ ~
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Size: 2819072 |
Author: yimeng |
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Description: :提出一种基于尺度不变特征变换(SIFT)特征匹配的目标跟踪方法.首先使用SIFT提取目标特征,构
建目标特征库,然后使用基于K维树的特征匹配算法,对实时序列图像提取的SIFT特征与特征库中目标进行精确匹配
-: Based on Scale Invariant Feature Transform (SIFT) feature matching target tracking. The first to use SIFT target feature extraction, feature library building goals, and then use the K-dimensional tree based feature matching algorithm for real-time image sequences extracted SIFT features and characteristics of the target database accurately match
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Size: 264192 |
Author: LIDAN |
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Description: :研究了一种多目标识别算法,该算法用SUSAN角点形成SIFT特征点,采用阶梯图像金字塔结构实现尺度不变,为所有匹配点建立统一的超定线性方程组并对该方程组系数矩阵进行简
化使其维数降低一半,得到增广矩阵.对增广矩阵进行列变换,依据坐标转换的特性可从中提取多目标的稳定正常点,实现了快速分离多目标的匹配点.
-: Study of a multi-target recognition algorithm using SUSAN corner formed SIFT feature points, image pyramid structure by step to achieve scale-invariant, for all the match points to establish a unified super-set of linear equations and coefficients of the equations dimension matrix can be simplified to reduce by half, by the augmented matrix. on the augmented matrix column transformation, coordinate transformation based on the characteristics of multi-objective can be to extract the stability of the normal points, for a rapid separation of multi-target match point.
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Size: 241664 |
Author: LIDAN |
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Description: 实现了三种图像匹配算法
1：归一化互相关匹配算法
2：基于Hausdorff距离的图像匹配算法
3：图像不变矩匹配算法-Three matching algorithms to achieve 1: normalized cross correlation matching algorithm 2: the image matching algorithm based on Hausdorff Distance 3: Image Invariant Moment Matching Algorithm
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Size: 12288 |
Author: 赵宏磊 |
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Description: Affine Scale Invariant Feature transform-Affine Scale Invariant Feature transform..
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Size: 1024 |
Author: pawan |
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Description: fourierDescriptor.rar, 抽取目标图形的轮廓及其fourier Descriptor算子, 然后对此fourier descriptor进行标准化(normalized), 标准化以后的算子满足orientation，scale 和translation invariant。 再将此算子与某标准图形的fourier 算子进行比较， 若各项差的平方小雨某范围，则断定与此标准图像类似。
-fourierDescriptor.rar extract the target graphic outline and its fourier Descriptor operator, then the fourier descriptor is normalized. After the normalization the operator satisfies the orientation, scale and translation invariant. This fourier operator is compared to the operator of a known graphic. If the difference is small enough, then the both are similar.
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Size: 4096 |
Author: Rui Xiong |
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Description: arious linear time-invariant electromagnetic systems are
most conveniently analyzed in the frequency domain
because there exist mature computational techniques (e.g.,
[1]) and related software (e.g., [2, 3]). Most measurements of
antennas and microwave systems are also performed in the
frequency domain (using vector network analyzers), yielding
a discrete set of frequency-domain data. In order to obtain the
time-domain response of such systems,arious linear time-invariant electromagnetic systems are
most conveniently analyzed in the frequency domain
because there exist mature computational techniques (e.g.,
[1]) and related software (e.g., [2, 3]). Most measurements of
antennas and microwave systems are also performed in the
frequency domain (using vector network analyzers), yielding
a discrete set of frequency-domain data. In order to obtain the
time-domain response of such systems
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Size: 1393664 |
Author: Mohd Elsoufi |
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