搜索资源列表
Point-Sampled-Surfaces
- 多种重建方法效果对比,有效地简化了采样点的表面重建-Efficient Simplification of Point-Sampled Surfaces
GUI
- 双目立体视觉,进行特征点提取匹配,对三维立体重建有帮助-Binocular stereo vision, for extraction of feature points matching, helpful for three dimensional reconstruction
_draw_in_img
- 手动匹配特征点,特征点比较少,重建简单模型很有用,也可以用于检验对比其他方法。-Manual matching of feature points, feature points is relatively small, the reconstruction of a simple model is useful, other methods can be used to test contrast.
sparse-points-and-matching
- 稀疏点匹配与重建(无图像校正),结合OpenCV开放-sparse points and matching
sparse-points-and-matching
- 稀疏点匹配与重建的好例子,没有图像校正的过程-sparse points and matching
MagicFinder-Source
- MagicFinder是一款小巧的硬盘搜索软件,支持中文模糊查询,使用sqlite数据库。 使用方法: 1 设置路径 菜单 →工具→设置 2 输入要搜索的硬盘盘符 点击保存 3 重建文件索引,期间可能会比较费时,大约5分钟以内,不要对程序做任何操作! 4 重建数据库索引,加快搜索速度 5 静候完成后,可以享用极速搜索带来的快感了,可以抛弃windows自带的慢腾腾的搜索框了! 6 正文到此结束! -MagicFi
CV
- 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 gradien
xishudianpipei-yuchongjian
- 本程序是在c++平台上应用opengl来实现三维密集点匹配与三维重建,绝对可以运行。-This procedure is the application in C++ platform opengl 3D dense point matching and 3D reconstruction can definitely run.
sys_paper_code
- sys_paper_code,老外2011年的用于大规模三维重建的代码。线性方法,对外点鲁棒。值得一看!-sys_paper_code, foreigners in 2011 for large-scale three-dimensional reconstruction of the code. Linear method, the robustness of the external point. Worth a visit!
angular-point-extraction
- 三维重建的角点提取 使用ncc方法 并且注释很清楚 容易读懂-3 d reconstruction of corner extraction can be accurately extracted angular point
sanweichongjian
- 三维重建 的代码 包括三维重建的角点检测 还有匹配的程序 自己试过 可以使用-Three-dimensional reconstruction of the code
reconstr
- 对图像处理中标定,匹配,三维还原出一系列的三维点,利用matlab进行图像的三维重建-Calibration of image processing, matching, three-dimensional reduction of a series of three-dimensional point, three-dimensional reconstruction of the image using matlab
points
- 基于点模型的目标三维重建,设出目标表面的点模型的三维坐标-Based on the point model of the target three-dimensional reconstruction, three-dimensional coordinates of the target surface, point model
cvut_test
- 基于opencv的 稀疏点匹配与重建 opencv书籍配套经典代码 -Sparse points matching based on opencv opencv books supporting and rebuilding classic code
wp201306011
- CT中经典的连续反投影算法程序,针对以一个点进行重建,可以加深对于反投影的理解-CT in the classic continuous back-projection algorithm for reconstruction to a point, you can deepen the understanding of the back-projection
3D_stereo
- 标定与重建的源码,有左片控制点、检查点计算,右片控制点、检查点计算-Calibration and reconstruction of the source, with left-chip control points, checkpoints, calculating, right piece control points, checkpoints calculation
Calibration
- 用opencv编写的三维重建源代码,功能强大,代码简洁,实用性好。其中还包括数据点文件-Three-dimensional reconstruction using opencv source code written, powerful, concise code, good practicability. Which also includes data point file
PoissonRecon
- 用于点云表面重建,基于Poisson重建算法,生成.ply文件,需要先求取点云法向量。-For point cloud surface reconstruction, reconstruction algorithm based on Poisson generate. Ply files, you need to strike a point cloud normal vector.
Image-_recon
- 完成两幅图像的稀疏点的匹配和重建,C++的编程环境,opencv函数库-Do two sparse points matching and reconstruction of the image, c++ programming environment, opencv function library
sanweichognjiansuanfa
- 三维重建中特征点提取算法的研究与实现的相关论文。-3D reconstruction feature extraction algorithm and implementation of the relevant papers.