搜索资源列表
0
- 本程序用以提取图像的七个不变矩，经过调试证明可以运行。-The procedure used to extract the image of the seven invariant moments, after the commissioning certificate to run.
bubianju
- 可通过本程序快速的提取图像的不变矩，并输出七个不变矩的值。-This procedure can be quickly extracted by the image of the invariant moments, and the output value of the seven invariant moments.
siftDemoV4
- Scale Invariant Feature transform ( SIFT)-- this code implements the SIFT algorithm which extracts features invariant to Scale, Rotation and translation from any image.
An-Algorithm-for-Face-Recognition-
- 高独特性特征的选择以及合适匹配策略的选用是人脸识别技术的关键。讨论了基于仿射不变的几何特 征SIFT算子进行人脸识别的方法。SIFT算子的计算复杂度较高，并且不同的人脸表情和图像模糊会加大特征匹 配的难度。为克服上述缺点，提出了一种新的算法，将选择6个人脸上感兴趣子区域进行描述，并根据各自的独特 性赋予不同的权值，最后在匹配过程中使用相似度的平方来减小偏差数据造成的影响。实验结果表明，该方法能 有效减轻表情变化对于身份识别率急剧下降的影响，并可显著减少计算复杂度和特征匹配时间。-
On-the-Removal-of-Shadows-From-Images
- This paper is concerned with the derivation of a progression of shadow-free image representations. First we show that adopting certain assumptions about lights and cameras leads to a 1-d, grey-scale image representation which is illuminant inva
array2
- 能够提取一幅图片的不变矩特征值，方便大家学习图像识别方面的开发技术-Able to extract a picture of the moment invariant features of value, to facilitate learning in the development of image recognition technology
bandlet-denoising2008
- 平移不变bandelets去噪程序包,具有自适应性和较多的可选方向，可用于图像的去噪，具有较好的效果-Translation invariant denoising bandelets package, and more with the optional adaptive direction, can be used for image denoising, with good results
sift
- SIFT特征（Scale-invariant feature transform，尺度不变特征转换)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量-SIFT features (Scale-invariant feature transform, scale-invariant feature transform) is a computer vision algorithm to detect and describe the
sift
- 1999年British Columbia大学大卫.劳伊（David G.Lowe）教授总结了现有的基于不变量技术的特征检测方法，并正式提出了一种基于尺度空间的、对图像缩放、旋转甚至仿射变换保持不变性的图像局部特征描述算子－SIFT（尺度不变特征变换），这种算法在2004年被加以完善。 -University of British Columbia 1999, David Rowe (David G. Lowe) summed up the professor is not variable
SIFT
- Sift implementation with opencv, this method Applys David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image. -Sift implementation with opencv, this method Applys David Lowe s Scale Invariant Feature Transform (SIFT) alg
SIFT
- Apply David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image. This algorithm takes a grayscale image as input and returns a set of scale- and rotationally invariant keypoints allong with their corresponding feature descr
do_sift
- Apply David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image.
do_sift
- this programme implements David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image
improved-MSER-algorithm-
- 本文在比较多种仿射不变性区域的基础上，选取最大稳定极值区域(MSER)对图像内容进行分割和提取，并通过构造仿射不变量的方法，对提取出来的区域进行规整化，进而从规整化的区域中提取SIFT描述子，然后根据匹配目标的需要进行特征的组合、变换，以形成易于匹配、稳定性好的特征向量，从而把图像匹配问题转化为特征的匹配问题 通过改进的K均值算法对特征向量进行聚类，聚类中心作为图像的视觉关键词:利用视觉关键词的思想，把文本检索技术领域的方法移植到图像检索应用上；并研究视觉关键词之间的空间约束关系。-Most r
shape-matching-cluttered-scenes-
- 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
SIFT
- SIFT 图像匹配经典 Distinctive Image Features from Scale-Invariant Keypoints -classic papers of SIFT image matching Distinctive Image Features from Scale-Invariant Keypoints
LBP-v0.0.4
- Local Binary Patterns， calculate histogram of LBP (local binary patterns) from an input image，VLBP (volume local binary patterns) -Introduction ============ This is a class to calculate histogram of LBP (local binary patterns) from an input ima
match
- 图像的匹配，使用旋转不变距从测试图片中找到目标图像。-Image matching, use rotation invariant from test images from find target images.
invmoments
- this a code to calculate the moment invariant of images. the values which come out are capable of removing rotational, scaling, transnational variation in image given as input.classification can be done with the help of it.-this is a code to calculat
huinvmoments
- this a code to calculate the moment invariant of images. the values which come out are capable of removing rotational, scaling, transnational variation in image given as input.classification can be done with the help of it.-this is a code to calculat