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my_hausdroff2
- 利用图象边缘特征的基于豪思道夫距离的景象匹配算法，匹配速度要比基于灰度的算法高好几个数量级-use of the images on the edge of Ho Sze-Astoria distance from the scene matching algorithm, speed matching gray than the algorithm based on several high-volume
genzong1
- 复杂场景下运动目标的实时跟踪，在完成对目标模式匹配，目标运动估计和石台控制处理的基础上，对三个模块力加以综合，实现对运动目标的实时跟踪。-sports complex scene and real-time tracking of the target, the completion of the target pattern matching, Target Motion estimation and control of Shitai, on the basis of three integ
sbp
- 基于图像分割的立体匹配算法，是目前效果最好的全局立体匹配算法！-A novel stereo matching algorithm is proposed that utilizes color egmentation on the reference image and a selfadapting matching score that maximizes the number of re- liable correspondences. The scene structure is m
IMGReg
- 图像配准是对取自不同时间,不同传感器或者 不同视解的同一场景的两幅图像或者多幅图像匹配的过程,它被子广泛应用在遥感图像/三维重构/机器人视觉等领域.下面是利用VC++来实现图像的配准源程序.-Image registration is a different time from different sensors or different solutions of the same scene as the two images or multiple image matching proces
ImageMatch
- 图像配准时对取自不同时间、不同传感器、不同视角的同一场景的两幅或多幅图像匹配的过程，该系统通过手动选取特征点，实现图像的配准功能-Image taken from the time of the different sensors, different perspectives of the same scene or two pieces of the image matching process, the system by manually selected feature points,
biye
- 基于投票算法的目标跟踪,基于二阶非线性投票的多目标跟踪算法。该算法通过目标匹配得到同一目标在不同帧中的位置，同时利用特征监测来处理目标的遮挡、分裂问题，并实现目标特征的实时更新。在目标匹配过程中，通过对目标前一帧与当前帧的特征相似性进行投票，得到匹配目标。利用视频图像进行实验，结果表明：该方法对噪声、阴影、遮挡、分裂等具有良好的鲁棒性，较好地实现了多目标的跟踪。-The method used object matching to get objects’ position in differe
efficient_subpixel_registration
- 实现基准图和实时图之间亚象素级的匹配,做景象匹配的朋友可以看看.-Implementation benchmarks and real-time map map between the matching sub-pixel class, to do scene matching friends can see.
LaplaceGaussianPyramid
- 运用拉普拉斯高斯金字塔方法进行景象匹配,实验证明该法能满足实时性和准确性.-The use of Gaussian Laplacian pyramid scene matching methods, experimental proof of the Act can satisfy the real-time performance and accuracy.
retmp
- 该法是经过改进的基于象素匹配的方法并且还含有图片,对进行景象匹配的朋友有所帮助-The Act are improved pixel-based matching method and also contains a picture of the scene matching to help a friend
AVehicleContourbasedMethodforOcclusion
- 摘要：在交通场景下进行多目标跟踪时，如何正确检测出车辆间的相互遮挡是影响车辆跟踪结果的关键。针对问题，运用投 影理论分析交通场景的三维几何投影特征．用长方体投影轮廓模型对车辆进行建模，重构其乏维投影轮廓，以进行遮挡的检 测和分离。与以往的方法相比，它在估计出的车辆外形轮廓基础t-进行遮挡检测，不需要匹配操作，计算量较小，并能解决 基于匹配的方法无法对付的初始遮挡问题。用实验验证了该算法的有效性。-In multi—object tracking of traf氍c scene。how
ImageRestoration
- 对取自不同时间不同传感器或不同视角的同一场景的两幅或多幅图像匹配过程-Pairs from different sensors at different times or different perspectives of the same scene two or more images matching process
imageFeature
- 包括了图像匹配中图像特征的选取和分析实验，还对相关面得统计特征进行阐述 -Include image matching image feature selection and analysis of experiments, but also the demographic characteristics of the relevant surface was elaborated scene matching
vcas_2009
- A method to detect new objects in a scene by comparing an input query image and a movie database captured beforehand is proposed. Our method is based on both feature point matching and edge matching. First, we select the most matched movie from t
RadarSceneMatchingImage
- ：采用基于内容的图像检索方法，对雷达景象匹配数据库中的图像数据进行兴趣目标的查询检索与识别．由于 雷达图像具有受斑点噪音影响明显等特点，故综合运用迭代阈值选取以及区域生长的方法，进行兴趣目标(主要是 机场)的分离；由于匹配数据库中图像数据范围比较大，包含目标多，为了在检索过程中确定检索目标在图像中的 位置，预处理时，采用对同一图像多幅子图进行特征提取的方法，最终在检索时通过子图范围来确定目标在大幅图 像上的位置．由实验分析，证明在机场目标的检索识别中，这一方法是可行的．-Cont
ScaleInvariantKeypoints
- This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. 局部不变特征，很好的资料。（SIFT）-This paper presents a method for extracting di
7
- 本文提出一种基于核方法的下视等分辨率景象匹配算法. 通过模拟电荷吸引模型, 提出了计算不等维高维数据相似度的SNN 核函数. 将图像中的特征点映射到径向基向量(Radial basis vector, RBV) 空间, 利用SNN 核函数计算两个特征点集的相似度及过渡矩阵. 利用置换测试模块来增强SNN 核的稳定性, 以确保输出解的可靠性. 实验证明, 基于SNN 核的景象匹配算法对图象畸变、噪声干扰与信号缺失具有很强的鲁棒性, 并可保证高精度与高实时性. -This paper prese
fastalgorithm
- 主要是针对景象匹配中矩特征计算量大、耗时时间长问题，提出了一种新的快速匹配算法。仿真效果良好。-Mainly in the moment features for scene matching large amount of calculation, time-consuming for a long time problem, we propose a new fast matching algorithm. Simulation results is good.
Pattern-Matching-Alg
- 利用①相关匹配（Correlation Matching）、②基于Hausdorff距离匹配方法 及③考虑对场景图象距离变换（Distance Transform）的Hausdorff距离匹配方法,实现模板目标在场景图象中的定位-Use ① correlation matching (Correlation Matching), ② matching method based on Hausdorff distance and image of the scene ③ consider the
my_hausdroff2
- 利用图象边缘特征的基于豪思道夫距离的景象匹配算法，匹配速度要比基于灰度的算法高好几个数量级-use of the images on the edge of Ho Sze-Astoria distance from the scene matching algorithm, speed matching gray than the algorithm based on several high-volume
2D-Mutual-Information-Matching-
- 图像融合是数据融合的一个重要分支，它在遥感图像 处理、目标识别、医学、机器人视觉等方面具有广阔的应用 前景。将获取的对应同一场景的不同图像数据进行空问 匹配这个医学图像配准融合的详细程序-Image fusion is an important branch of data fusion, which in remote sensing image processing, object recognition, medical, robot vision and so has a broad a