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a C/C++ package for generic sparse bundle adjustment
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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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A sparse variant of the Levenberg-Marquardt algorithm implemented by levmar has been applied to bundle adjustment, a computer vision/photogrammetry problem that typically involves several thousand variables
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A version of a sparse bundle adjustment implementation with adjustable intrinsics and distortion parameters (either shared by all views or varying for each view)
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Bundler is a structure-from-motion system for unordered image
collections (for instance, images from the Internet). Bundler takes a
set of images, image features, and image matches as input, and
produces a 3D reconstruction of the camera and (s
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集束调整是指同时调整相机参数和物点坐标，使重投影误差取得最小值的优化过程，可用于三维重建-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
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sparse bundle adjustment algorithm, very good
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Bundler是一个采用C和C++开发的称为sfm（struct-from-motion）的系统，它能够利用无序的图片集合（例如来自网络的图片）重建出3D的模型。最早的版本被用在Photo Tourism的项目上。
Bundler的输入是一些图像、图像特征以及图像匹配信息，输出则是一个根据这些图像反应的场景的3D重建模型，伴有少量识别得到的相机以及场景几何信息。系统借用一个由Lourakis 和Argyros提供的称为Sparse Bundle Adjustment的开发包的修改版
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使用CMakeList重新组织的SBA，即稀疏矩阵光束法平差算法，希望对大家有用-Use CMakeList reorganize the SBA, namely sparse matrix bundle adjustment algorithm, we hope to useful
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使用CMakeLists对稀疏矩阵光束法平差软件包重新包装，不需要复杂的操作，即可运行。希望对大家的科研有所帮助。-Use CMakeLists for sparse matrix package repackaged bundle adjustment, no complex operations can run. We want to help research.
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Sparse Bundle Adjustment package of Lourakis and Argyros
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基于sba1.6的稀疏调整算法，可以使用9个相机参数，并且在vs2013，win7系统下运行-sparse bundle adjustment based on sba1.6,which can use 9 camera parameters and run in vs2013+win7
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