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基于小波变换的图像压缩感知 并且进行OMP重建
对压缩感知的性能与采样点数进行性能分析与比较-Image compression based on wavelet transform perception and the OMP reconstruction performance of compressed sensing and sample analysis and comparison of performance points
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基于特征点的三维人脸形变模型，为三维人脸的重建提出了一种新方法,Feature points based on three-dimensional people variable model for three-dimensional reconstruction of human faces presents a new method
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基于窗口稀疏点匹配以及三维重建，包括了示例图片以及执行文件-Sparse points matching based on window and reconstruction, including a sample image and perform file
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通过两个摄像机的配准，实现三维空间点的重建。-Registration through two cameras to achieve the reconstruction of three-dimensional space points.
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surf算法是现在最新的寻找图像特征点并匹配的算法，与SIFT算法相比速度更快，可以用在3D重建、图像拼接等多个领域-surf algorithm is now the latest to find the image feature points and matching algorithms, compared with the SIFT algorithm is faster, can be used in 3D reconstruction, image mosaic, and othe
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MATLAB 三维点云重构
Surface recostruction from scattered points cloud-MATLAB three-dimensional point cloud Reconstruction Surface recostruction from scattered points cloud
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海量散乱点的曲面重建算法研究
本文提出了一个对大量密集点集进行空问划分的算法，给出了相应的数据结构，提高了海量数
据的处理效率，并对Hoppe等人提出的三角网格面重建算法进行改进，能更好地进行有界曲面以
及带尖锐棱边曲面的重建-Massive points scattered surface reconstruction algorithm proposed in this paper, a large number of dense point set for space divi
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这是一篇博士论文，关于三位重构方法的研究，里面涉及到了各种重构的方法和优化算法比如，摄像机的标定，对应点的匹配，图像的与处理，去噪以及重构的方法。对很多研究三位重构的人非常有用！-This is a doctoral dissertation on the three Reconstruction Method, which involves the reconstruction of a variety of methods and optimization algorithms for ex
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对混沌时间序列相空间重构C—C方法的三点不足，提出了一种基于改进的C-c方法的
确定曩优时延与嵌入窗的新算法．在关联积分计算过程中引入了权衡计算精度与速度的可调参数，
合理选择试参数，能在不严重损失估计精度的前提下，大大加快计算速度。在理论分析的基础上，
用所提出的算法对三种混沌序列进行相空间重构，仿真结果表明该算法对最优时延的选择更准确，
对最优嵌入窗的选取更可靠。-Of chaotic time series phase space reconstruction method
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从ML-EM 重建算法入手，分析了贝叶斯模型的一些关键点，针对采用传统方法求解MAP问题的局限性，提出一种用于正电子成像的贝叶斯神经网络重建算法，为了保留边缘信息，引入了二进制的保边缘变量，并应用共轭神经网络求解，模拟的重建结果表明，应用这种算法可以得到比ML-EM 算法更好的重建图像@-From the ML-EM reconstruction algorithm start with an analysis of Bayesian model some of the key points,
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sba, a C/C++ package for generic sparse bundle adjustment is almost invariably used as the last step of every feature-based multiple view reconstruction vision algorithm to obtain optimal 3D structure and motion (i.e. camera matrix) parameter estimat
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Reconstruction of Solid Models from Oriented Points Sets
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根据三维点云散重建表面！
是表面重建非常好的算法！-Surface Reconstruction from Scattered Points
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本文提出的基于稀疏线性模型的优化算法能够相对准确、稳定地估计出二维特征点的深度信息。将深度估计值应用于形变算法，可以提高人脸的重建精度。-The proposed model based on sparse linear optimization algorithm is relatively accurate and stable two-dimensional feature points to estimate the depth of information. Estimate the
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双目视觉三维重建程序，输入左右相机匹配点对矩阵，自动计算投影矩阵，并输出射影空间下的三维点坐标-Binocular vision three-dimensional reconstruction program, enter the matching points on the matrix around the camera to automatically calculate the projection matrix, and output under the three-dimensio
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基于增量扩散法的思想，提出并实现了一个散乱点云的三角网格重构算法-Based on region-growing idea, a triangular mesh reconstruction algorithm for points cloud is presented
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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
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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
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3d 重建 包括特征点的提取，匹配，以及三维点云的建立(3d reconstruction ,including feature detection and 3 D points cloud ,the change from 2D to 3D)
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图像处理图像视觉三维重建点的特征与匹配线的特征(Characteristics of image 3D reconstruction points and matching line characteristics in image processing)
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