Description: C++ code to find point correspondences by matching color distributions computed with spatially oriented kernels and optical flow registration. The theory is described in Point Matching Under Large Image Deformations and Illumination Changes Platform: |
Size: 59508 |
Author:ly |
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Description: C++ code to find point correspondences by matching color distributions computed with spatially oriented kernels and optical flow registration. The theory is described in Point Matching Under Large Image Deformations and Illumination Changes-err Platform: |
Size: 59392 |
Author:ly |
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Description: 用于物体追踪、图像匹配、运动估计的光流计算程序，计算量较大-For object tracking, image matching, motion estimation of optical flow calculation program to calculate the volume of the larger Platform: |
Size: 11264 |
Author:童玉娟 |
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Description: 为了解决光谱恢复对图像匹配高精度的问题, 提出了一种高精度图像匹配算法———利用光流确定图像的运动场对图像进行匹配。该算法克服了传统的基于灰度匹配方法受图像插值精度影响的缺陷以及运算速度和精度的局限性。与基于MAD 块匹配算法和归一化相关系数块匹配算法进行比较, 该算法实现了图像序列高精度匹配, 而且硬件实现简单, 计算复杂度较低。-To address the spectrum of the resumption of high-precision image matching problem, a high-precision image matching--- the use of optical flow algorithm to determine the image of the stadium to match the image. The algorithm to overcome the traditional matching method based on gray-scale image interpolation accuracy by the effects of defects, as well as the speed and accuracy of computing limitations. MAD-based block matching algorithm and the normalized correlation coefficient to compare block-matching algorithm, the algorithm achieved a high-precision image sequence matching, and simple hardware implementation, lower computational complexity. Platform: |
Size: 222208 |
Author:酷鱼 |
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Description: 基于光流的图像匹配程序，其中有经典的光流计算中的x,y,t的梯度函数，可以用其它主程序调用此函数-Optical flow-based image matching procedures, including the classic optical flow calculation of x, y, t of the gradient function, the main program can call this function in other Platform: |
Size: 61440 |
Author:胡江川 |
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Description: 该代码完成用光流匹配法实现图像匹配，提供代码和参考图-The code to complete using the optical flow matching method for image matching, to provide the code and reference map Platform: |
Size: 75776 |
Author:陈芳芳 |
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Description: 该算法是关于图像清晰化的算法，里边包含了光流法，块匹配，凸集投影和最大后验概率等，是很好的参考东西。-The algorithm is an algorithm for image clarity, inside includes optical flow, block matching, convex set projection and maximum a posteriori probability, is a good reference for things. Platform: |
Size: 3850240 |
Author:王美丽 |
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Description: matlab编写的图像光流计算程序 基于块匹配法的全搜索 菱形搜索等各个搜索算法 以及最小绝对误差准则-matlab prepared based on the image optical flow calculation program full search block matching diamond search and other search algorithms and minimum absolute error criterion Platform: |
Size: 520192 |
Author:袁永金 |
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Description: 研究优化人脸特征提取问题，针对长期以来在不贴标记点的情况下用传统的光流、Snake、可变模板等方法对纹理特征变化大的特征点不能有效跟踪，并且解决单独采用Gabor 小波系统开销大等问题，为了在人脸图像中提取准确信息，提出了人脸特征点的跟踪方法，分组采用改进的光流法和弹性图匹配的方法进行特征点跟踪。对眼睛、眉毛、上下眼皮等14 个表
情变化不大的特征点使用光流法进行跟踪，最后对变化大的嘴部8 个特征点运用Gabor 小波的弹性图匹配方法进行仿真。-Gabor wavelet research to optimize facial feature extraction problem for a long time in the case of stickers marked point changes of texture features with traditional optical flow, Snake, variable template feature points can not effectively track and solve alone overhead and large, in order to extract the accurate information in a face image, the facial feature point tracking method, grouping, improved optical flow method and elastic graph matching feature point tracking. Little change in the feature point of eyes, eyebrows, and eyelids 14 expression using the optical flow method for tracking simulation using Gabor wavelet elastic graph matching method, and finally on the changes of eight characteristic points of the mouth portion. Platform: |
Size: 444416 |
Author:yaomeng |
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Description: 图像处理 o 梯度 边缘和角点 o 采样 差值和几何变换 o 形态学操作 o 滤波和彩色变换 o 金字塔及其应用 o 连接组件 o 图像和轮廓矩 o 特殊图像变换 o 直方图 o 匹配 结构分析 o 轮廓处理 o 计算几何 o 平面划分 运动分析和对象跟踪 o 背景统计量的累积 o 运动模板 o 对象跟踪 o 光流 o 预估器 模式识别 o 目标检测 照相机定标和三维重建 o 照相机定标 o 姿态估计 o 极线几何 函数列表 参考图像处理注意:本章描述图像处理和分析的一些函数-O gradient edge and corner of the image processing o Sampling difference and geometric transformations o filtering and color transform morphological operations o o pyramid and its application o connected components o image and contour moments o special image transformation o Histogram o matching structure analysis o contour processing o computational geometry o the plane divided motion analysis and object tracking cumulative o Motion templates o o background statistics object tracking o optical flow o predictor pattern recognition o target detection camera calibration and 3D reconstruction o camera calibration o attitude estimates o epipolar geometry function list reference image processing Note: This chapter describes the image processing and analysis functions Platform: |
Size: 9968640 |
Author:diaoguangqiang |
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Description: The code implements a coarse-to-fine variational framework for optical flow estimation between two image frames that incorporates descriptor matches in additiona to the standard brightness and gradient constrancy constraints, for dealing effectively with large displacements of small (and large) structures. The code is based on [1] and [2]. We denote with w(x)=(u,v) the displacement field between two images I_1 and I_2. Following [2], we obtain descriptor matches w_descr(x) by matching densely sampled HOG descriptors in the two images via approximate nearest neighbor search. We then compute w(x) by minimizing the energy functional: Platform: |
Size: 25872384 |
Author:tom |
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Description: 光流是一种简单实用的图像运动的表达方式[1] ，通常定义为一个图像序列中的图像亮度模式的表观运动，即空间物体表面上的点的运动速度在视觉传感器的成像平面上的表达。这种定义认为光流只表示一种几何变化。1998年Negahdaripour将光流重新定义为动态图像的几何变化和辐射度变化的全面表示[2] 。光流的研究是利用图像序列中的像素强度数据的时域变化和相关性来确定各自像素位置的“运动”，即研究图像灰度在时间上的变化与景象中物体结构及其运动的关系。一般情况下，光流由相机运动、场景中目标运动或两者的共同运动产生的相对运动引起的。光流计算方法大致可分为三类：基于匹配的方法、频域的方法和梯度的方法。-Optical flow expression is a simple and practical image motion [1], is usually defined as the apparent motion of an image sequence image brightness mode, ie velocity of points on the surface of the object on the imaging plane space vision sensor expression. This definition is considered only optical flow shows a geometric variation. 1998 Negahdaripour will redefine optical flow motion picture geometry changes and radiometric variations comprehensive representation [2]. Optical flow study is the use of temporal changes in a sequence of images pixel intensity data and to determine the relevance of each pixel position of " movement" , that is, the relationship between research grayscale image at the time of the scene changes in the structure and motion of objects . In general, the optical flow by the camera motion, relative motion common target movement or motion scenes both produce caused. Optical flow calculation method can be broadly divided into three categories: matching meth Platform: |
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Author:张聪 |
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Description: Matching Pursuit and orthogonal matching pursuit, You can get a very accurate amplitude, frequency, phase estimation, Image optical flow calculation matlab program. Platform: |
Size: 40960 |
Author:丁林志
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Search - image optical flow matching