Description: 立体图像对编码的MATLAB实现程序。包含了匹配跟小波变换2种算法，经过调试，可以使用。且效果很好。-stereo image pairs of MATLAB coding procedures. Included with the matching two kinds of wavelet transform algorithm, after debugging, can be used. And the results very good. Platform: |
Size: 65536 |
Author:tangli |
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Description: 利用几何成像原理建立起CCD 双目立体视觉测量系统的数学模型,从提高系统测
量精度出发,在理论上重点对系统结构参数、图像识别误差与系统测量精度的关系进行了深入的分析和探讨,并通过实验对结论进行了验证。研究内容对实际建立该测量系统具有很强的指导作用。-Established the principle of the use of CCD imaging geometry binocular stereo vision measurement system of mathematical models to improve system measurement accuracy from the start, in theory, focus on structural parameters of the system, image recognition system error and the relationship between the measurement accuracy of an in-depth analysis and discussion and through experiments carried out to verify the conclusions. Study of the actual establishment of the measurement system has a strong guiding role. Platform: |
Size: 339968 |
Author:chenruibao |
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Description: 一个立体系统相机标定，立体图像校正以及三维三角测量的多功能matlab工具箱。压缩包中包括一个PDF说明文档，和一个带有实验用图像的matlab程序压缩包。-A three-dimensional system, camera calibration, stereo image correction, as well as three-dimensional triangulation of multi-function matlab toolbox. Compressed package includes a PDF documentation, and one with an experimental image compression package matlab program. Platform: |
Size: 1556480 |
Author:llc |
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Description: 用于双目立体图像匹配：用surf提取特征点、Flann匹配、RANSAC计算基本矩阵完成立体图像对的极线校正，用opencv实现-For binocular stereo image matching feature extraction point: surf, Flann matching, RANSAC calculation of the completion of the fundamental matrix the epipolar rectification of the stereo image pairs with opencv Platform: |
Size: 3072 |
Author:guonan |
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Description: 用于立体图像矫正:Harries角点、NCC匹配、RANSAC计算基本矩阵完成立体图像对的极线校正，自己书写的opencv函数-For three-dimensional image correction: Harries corner NCC matching, RANSAC calculation of the completion of the fundamental matrix the epipolar rectification of the stereo image pairs own writing opencv function Platform: |
Size: 12288 |
Author:guonan |
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Description: For fast image processing this script extracts all the parameters for stereo image rectification in order to get the largest rectangular image pairs with only valid pixel values. The parameters are sorted in the way images are read in (First pixels of first row, then pixels of 2nd row etc.). Furthermore the precision for the bilinear transformation can be reduced to 8, 16, 32 or nearest neighbor in order to save calculation efforts. The effect of precision reduction are evaluated with Double_versus_uint.m .
Requirements:
This script works only in conjunction with the Camera Calibration Toolbox for Matlab from Jean-Yves Bouguet:
http://www.vision.caltech.edu/bouguetj/calib_doc/
Also required is the modified file FindLargestRectanglesPUS.m (original from Jaroslaw Tuszynski, see
http://www.mathworks.com/matlabcentral/fileexchange/28155-inscribed-rectangle/content/FindLargestRectangles.m)
This files is included in this package. - For fast image processing this script extracts all the parameters for stereo image rectification in order to get the largest rectangular image pairs with only valid pixel values. The parameters are sorted in the way images are read in (First pixels of first row, then pixels of 2nd row etc.). Furthermore the precision for the bilinear transformation can be reduced to 8, 16, 32 or nearest neighbor in order to save calculation efforts. The effect of precision reduction are evaluated with Double_versus_uint.m .
Requirements:
This script works only in conjunction with the Camera Calibration Toolbox for Matlab from Jean-Yves Bouguet:
http://www.vision.caltech.edu/bouguetj/calib_doc/
Also required is the modified file FindLargestRectanglesPUS.m (original from Jaroslaw Tuszynski, see
http://www.mathworks.com/matlabcentral/fileexchange/28155-inscribed-rectangle/content/FindLargestRectangles.m)
This files is included in this package. Platform: |
Size: 116736 |
Author:Adilson |
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Description: 双目立体视觉的图形匹配与视差求解，实现摄像头的标定。-This example shows how to compute the depth map between two rectified
stereo images. See the Image Rectification ExampleImage Rectification
Example
to
learn
about
the
details
behind
rectification.
In
this
example
we use block matching, which is the standard algorithm for high-speed
stereo vision in hardware systems [8]. We first explore basic block
matching, and then apply dynamic programming to improve accuracy, and
image pyramiding to improve speed.
Platform: |
Size: 3072 |
Author:zhangkui |
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Description: 3篇双目视觉的英文文献，利用8点法求出立体视觉系统的基本矩阵，进而求出8对点对应的极点和极限- A New Rectification Scheme for Uncalibrated Stereo Image Pairs and Its Application to Intermediate View Reconstruction
Planar Affine Rectification Change of Scale
A Study on the Planar Rectification of Self-Calibrated Stereo Images
Platform: |
Size: 1438720 |
Author:wangyan |
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Search - stereo image rectification