搜索资源列表
ImageProcessEx
- 图象处理的小程序,包括直方图统计,图形缩放,图形秽土变换,边缘检测和跟踪,等-small image processing procedures, including histogram statistics, graphics scaling, graphics constrained transform, edge detection and tracking, etc.
tetgen1.4.2
- // TetGen computes Delaunay tetrahedralizations, constrained Delaunay tetra- // // hedralizations, and quality Delaunay tetrahedral meshes. The latter are // // nicely graded and whose tetrahedra have radius-edge ratio bounded. Such // // meshe
运动模糊图像通过四种方法维纳滤波
- 运动模糊图像通过四种方法维纳滤波、约束最小二乘法、lucy、盲目卷积图像复原,Motion-blurred image through the four methods of Wiener filter, constrained least squares method, lucy, blind deconvolution image restoration
FCLS.rar
- 全约束最小2乘法，用于遥感图像的混合象元分解,2 multiply constrained minimum-wide, the mixed-use remote sensing image pixel decomposition
BPExclusivity.zip
- 带约束的belief propagation的matlab 实现,Matlab implementaion of constrained belief propalgation
SALSA_v2.0
- 这个软件包实现了一个快速算法，用来解决一些线性逆问题。-This set of MATLAB files contain an implementation of the algorithms described in the following papers: "Fast Algorithm for the Constrained Formulation of Compressive Image Reconstruction and Other Linear Inverse Pro
rpca
- RobustPCA 是最近提出的一种非常新的图像矩阵分解算法，该算法具有对噪声不敏感、能处理高维图像数据的特点。这是论文作者提供的 MATLAB 实现代码。-Oct 2009 This matlab code implements the augmented Lagrange multiplier method for Robust PCA.
FINAL
- 图像拼接原代码，ＶＣ＋＋，图像拼接在制作全景图的过程中具有重要作用。对多幅图像进行特定模式投影后,用约束的相位相关度法求取水平垂直偏移量,然后寻找最佳缝合线,实现图像拼接,最后采用多分辨率算法对全图进行拼接处理去除曝光差异和鬼影。整个过程用VisualC++加以实现,实验结果验证了算法的有效性。-The original code image mosaic, VC , image mosaic panorama in the production process plays an impo
RSC
- 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the trai
Imagefeaturelocalization
- 介绍一种图像特征点定位方法,用以解决现有技术中存在的图像特征点定位效率低、应用受限的问题。-Introduce an image feature point positioning methods, the methods used to tackle existing technologies that exist in image feature point positioning low efficiency, the application of constrained problem.
picture_processing
- 图像处理包括(1) 显示图片 (2) 正交变换--包括傅立叶变换、沃尔什变换、离散余弦变换 (3) 图象增强--包括直方图显示、图象均衡化、图象规定化、图象平滑、锐化、中值滤波、低通滤波器、伪彩色编码 (4) 图象复原--非约束复原（逆滤波）、约束复原（维纳滤波） -Image processing, including (1) Show pictures (2) orthogonal transformation- including the Fourier transform
d
- 带约束的图案变形算法生成笔划效果，用于非真实感图像绘制-Constrained algorithm design stroke effect of deformation for non-photorealistic image rendering
NonnegJune2009
- 当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood E
An_Efficient_Brush_Model_for_Physically-Based_3D_P
- 这篇论文介绍了一种有效的3D笔刷模型，模仿中国毛笔的写字方式，能够运用于各种程序。-This paper presents a novel 3D brush model consisting of a skeleton and a surface, which is deformed through constrained energy minimization. The main advantage of our model over existing ones is in its abili
5
- 数字图像处理◆5.0 概述 ◆5.1 退化模型 ◆5.2 常见退化模型及辨识方法 ◆5.3 图像的无约束恢复 ◆5.4 图像的有约束最小二乘恢复 ◆5. 5 几何畸变图像的恢复 5.6 超分辨率图像复原-Digital image processing ◆ 5.0 Overview ◆ 5.1 Degradation Model ◆ 5.2 Common degradation model and identification method for n
alg5
- Externally constrained nearest neighbor
zhizhenshibie
- 实现一个高精度指针仪表读数自动识别系统．用数码摄像头采集仪表的图像，然后利用数字图像处理技术识别刻度和指针，根据指针和刻度的相对位置计算指针读数值．使用条件霍夫变换（Constrained HOUGH Transfer）和中心投影分析法实现刻度的全自动识别，采用快速中心投影法进行指针检测与识别，识别速度达到68ms．实验结果表明该方法比传统方法速度快、精度高，系统读数平均误差仅为0．016％-To achieve a high precision automatic identification
CVPR10-LLC
- 该matlab源码描述了基于局部受限线性编码的图像分类算法-This is an example code for the algorithm described in "Locality-constrained Linear Coding for Image Classification", CVPR 2010.
zuixiaoerchengfafuyuancc
- 约束最小二乘法图像复原代码，直接上图片就可以使用的。-Constrained least squares image restoration code directly on the image to be used.
Outlier-Removal-for-Motion-Tracking-
- 许多特征跟踪算法已被提出 为运动分割,但由此而轨迹 不一定是正确的。在本文中, 我们提出一种技术用于去除野值的基础上 在对知识,正确的轨迹约束的 在他们的网域的子空间的。我们第一次 合适的子空间的轨迹鲁检测 然后用RANSAC移除那些大型 后遗症。使用真实的视频序列,我们证明了 我们的方法是有效的,即使多个对象 移动在场景里。我们也证实分离 我们确实是提高精度的方法。 -Many feature tracking algorithms have b