搜索资源列表
BM3D
- BM3D去噪算法的实现和相关文档，很好的去噪算法-Image and video denoising by sparse 3D transform-domain collaborative filtering Block-matching and 3D filtering (BM3D) algorithm
Implit_Function_And_Marching_Cube
- 实现了3D模型变形（morphing）的隐函数插值算法。并有Matching Cube算法网格化模型。这个程序花了我不少时间编写。-Achieved a 3D model of the deformation (morphing) of the implicit function interpolation algorithm. And Matching Cube Mesh count model. This process gave me a lot of time to prepare.
StereoMatch_1_0
- Stereo Matching for depth estimation in 3D graphics
hausdorff
- this source code for housdorff distance matching for 3D face recognition. I used this code on GavabDB .
l3d
- Linux 3D Graphics Programming-配套的源码，在书里有详细的安装说明-Linux 3D Graphics Programming-matching source code, in the book has detailed installation instructions
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
FastStereoMatchingUsingRectangularSubregioningand3
- 本文提出了一种快速，可靠的立体匹配算法产生浓密视差图，通过使用快速互相关、矩形秩和3D最大表面技术粗到细计划。-This paper presents a fast and reliable stereo matching algorithm which produces a dense disparity map by using fast cross correlation, rectangular subregioning (RSR) and 3D maximum-surfac
BM3D
- The Block-Matching and 3D Filtering (BM3D) algorithm is a computationally scalable algorithm based on this novel denoising strategy. It achieves state-of-the-art denoising performance in terms of both peak signal-to-noise ratio and subjective visual
3d-matching
- 提出了一种用于物体外形非接触式提取的综合立体匹配方法。该方法综合了基于面积的立体匹配过程和基于特征的立体匹配过程。能充分利用它们各自的优点。 既能产生致密视差图。又能获得不连续处的准确匹配。 解决了物体外形非接触式提取中的关键性的问题实验结果以及实际应用都收到了很好的效果。-Proposed for object shape extraction of non-contact integrated stereo matching method. This method is an integra
3D-depth-map-from-2D-images
- 二维图像三维立体视差算法依据的文章是： “Segment-Based Stereo Matching Using Belief Propogation and a Self-Adapting Dissimilarity Measure” by Klaus, Sormann, and Karner 主要步骤： Getting Pixel Disparity Filtering the Pixel Disparity 包含的文件： demo.m, .#newrea
3d
- IDL scr ipt of image matching
disparity-estimatino-on-3D
- 这些代码可以通过给予的左右视图来进行其视差图的调整，为立体图像的矫正处理做准备。-These codes are used for stero matching about the 3D graphes. You can get a disparity map from the left and right pictures.
Fast-Matching-Code
- Fast Matching 算法的实现，快速计算三维模型任意两点之间的测地线距离-Implementation of Fast Matching algorithm. Use for computing geodesic distance between any pair of vertices on a 3d mesh.
3D-gamer
- 雙camera，取出左右camera的image，做flann ransac matching（基予sift）同時計算出fundamental matrix和深度關係。另外做了光流法h檔 加載後 可以計算左右camera 運動位移。 如果不能解壓縮，請將檔案後綴改成7z。-3D geometry
Stereo-Matching
- 这是一个工具箱，可以对经过平行视觉处理之后的图片进行三维重建，得到视差图。GUI操作，简单易懂，功能强大。-This is a toolbox which can reconstruct the 3D picture(stereo matching or stereo construction) with 2 pictures from parallel view. You can finish the process with GUI easily.
dual-cameras-based-on-matching
- 能够实现在计算机平台上运行左右两个图像传感器的同步采集，用于机器人立体视觉以及3D片源的获取-Can be achieved in a computer running on a platform about two image sensors synchronous acquisition for robot stereo vision and 3D sources of access
psoe-estimation-by-image-matching
- 通过三维模型生成的各种姿态图像与输入图像对比，找出匹配度最高的图像，即可估计出输入图像的目标姿态。-The image with the best matching degree can be found images which generated 3D model by matching with input image, and the pose is estimated.
3D-Reconstruction.
- 择了一种速度、特征点数量和精度都比较好的组合方案：FAST角点检测算法+sift特征描述子+FLANN(Fast Library for Approximate Nearest Neighbors) 匹配算法。-Choose a speed and precision of the number of feature points are relatively good combination scheme: FAST corner detection algorithm+sift featur
3D试衣间
- 3D试衣间的matlab程序，适合初学者。3D试衣间能够让用户轻松的在线上随时随地试穿各种衣物，并且软件支持您随意搭配，搭配出最适合自己的衣服，3D试衣间让您无需再为买衣、搭配而犯愁。(3D fitting room matlab procedures, suitable for beginners.3D fitting room enables users to easily try on a variety of clothes online at any time and anywhere