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szltppsh
- 基于区域的立体匹配算法 视差分析2 计算机视觉中的立体匹配研究，深度图-based on the regional disparity stereo matching algorithm analysis of two computer vision of the stereo matching studies, in-depth map
SIFT-Panorama
- 本程序利用SIFT算法实现影像匹配的基础上，实现全景图的拼接，实用性很强，大家可以把拍摄的相邻的几张有重叠度的照片拼接成一张全景图。-The program uses SIFT image matching algorithm based on the realization of panorama stitching, very practical, we can put a few have taken the overlap of adjacent photos into a panora
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.
terrain-matching-algorithm
- 关于地形匹配算法的程序，集合了多种常用算法，采用的是自定义的vis高程图，对地形匹配发面的研究很有帮助-Terrain matching algorithm on the procedures for collection of a variety of commonly used algorithms, uses a custom vis elevation map of the terrain matching baking helpful
M
- Low教授推荐的关于图相匹配和三维重建的优秀论文，实现多视图的立体匹配-Professor Low recommended on the map to match and three-dimensional reconstruction of fine papers, multi-view stereo matching
WinWeight
- 实现了基于窗口的图像立体匹配方法，得到此方法的视差图-Based on the realization of the window image stereo matching method, the disparity map of this method
relevance-mse-matchingalgorithm
- 利用模板匹配算法，计算小图与大图的相关性和均方误差三维曲线图，从而求出小图在大图中的匹配位置。-The matching algorithm used to calculate a small map and large map of the relevance and mean square error of three-dimensional curves, which obtained a small map large map in the matching position.
SSDA
- SSDA序贯相似性检测方法对图像进行模板匹配。从源图像中取小图，再到源图像中找到小图所处的位置。-SSDA sequential similarity detection method of the image template matching. Source image taken from the small map, to find a small map the source image position.
CORR_MATCHING
- 對於左右眼BMP圖檔 利用Correlation Matching 產生視差圖-BMP image file for the left and right eye disparity map generated by Correlation Matching
Integrated-Map-Matching-Technology
- 基于加拿大亚伯达省政府远程运输RTS系统开发，在分析影响地图匹配性能因素的基础上，提出了一种基于高精密 数字地图的综合地图匹配算法，融合了几何匹配算法和路网拓扑结构，充分利用车辆行驶的连续性，结合历史行驶数据选 取投影道路，实现准确定位，且算法计算量小，可用于嵌入式实时系统。通过实际跑车试验证明该匹配算法精度高、效率 好，具有较好的实用价值。-Canada' s Alberta government based on long-range transportation RTS
Research-on-Map-Matching-method
- 车辆导航中地图匹配算法与应用研究，研究了已有地图匹配算法，提出一种新算法，并进行相应的实现。-Research and using of Map Matching , through a new method to build an application.
MapMatch
- 基于VC++ 的地图匹配算法的实现。实现了道路网的拓扑构建。-The application of Map-Matching based on VC++
11
- ：针对字符号码类目标，提出一种无需全图阈值分割和先验特征匹配计算的方法。先利用 方向梯度块精确定位目标，再对目标区域作局部阈值分割，从而快速地得到高质量的目标信息。-: Number of classes for the characters, we put forward a complete map without a priori segmentation and feature matching calculation. Gradient direction of the first
picture-biyesheji
- 黑白图像彩色化是计算机视觉领域中一个很有意义的问题,给灰度图像加上颜色可以增加图像的视觉效果,例如对旧黑白照片、老电影以及科学图例等进行彩色化处理。图像彩色化可以定义为对一张输入的黑白图像，根据其灰度分布，再加上人工的颜色指定或者自动的颜色匹配从而得到其彩色图的问题。Welsh提出了一种将灰度图像彩色化的算法，该算法使用一个像素的邻域的统计值来指导匹配过程，但运算速度较慢。-The color of black and white images is a very significant pro
before_jiandan
- 图像匹配问题，利用彩色图像梯度与像素的SAD法得到图像左右视差图，并利用WTA法得到准确视差-Image matching, color image gradient pixel SAD obtained disparity map image around, and WTA method to get an accurate parallax
StereoDisparity
- 双目立体匹配中获取图像对的视差图，可用于后续的三维重建工作。-Binocular stereo matching to get the image on the disparity map can be used for subsequent 3D reconstruction.
SAD
- 实现了立体匹配的SAD算法计算视差图，结果比较理想-Using the SAD algorithm to calculate the disparity map of stereo matching, the result is good.
StereoVision
- 实现OpenCV、OpenGL、VS2008混合编程，输入校正后的图像对，使用立体匹配算法计算其视差图，最后用OpenGL进行三维重建-Achieve OpenCV, OpenGL, VS2008 mixed programming, enter the corrected image right, using stereo matching algorithm to calculate the disparity map, the final three-dimensional reconst
SIFT
- SIFT匹配（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，其应用范围包含物体辨识、机器人地图感知与导航、影像缝合、3D模型建立、手势辨识、影像追踪和动作比对。-Matching SIFT (Scale invariant feature transform, Scale invariant feature transform) is a co
Code_including_Spectral_Matching
- 利用基于图谱理论进行图谱匹配，从而进行目标识别。参考资料 2005 ICCV A Spectral Technique for Correspondence-Using the map theory based on the map matching, so as to identify the target. Reference material： 2005 ICCV A Spectral Technique for Correspondence