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针对摄像机固定和共面约束条件下进行目标定位,提出了一种简单可行的全新算法。该算法避开了烦琐的摄像机标定这一过程,也不用精确地求解单应性矩阵。只是运用射影几何的性质,通过简单的几何关系,对非标定单摄像机拍摄的单幅图像,求解其从2D图像平面到真实的3D平面的非线性单映射关系。该算法为解决计算机视觉的测量、定位、三维重建等问题,提供一种全新的思路。
-against cameras fixed and coplanar binding conditions for target location,
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基于三维空间三角网格的二维投影图像变换,包括3D仿射变换,基础矩阵求解及欧式空间的重构,对基于图像的三维重构有研究的朋友可以看下
-Medical image visualization technologies build 3D models with 2D medical image series to provide useful and precise information for the doctors. It is one of the crucial technologies
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描诉由二维图像到三维物体重建的方法,基于表面膨胀技术,对于做非真实感物体重建的人员来说比较有用.-Tracing the lawsuit 2D image to 3D reconstruction algorithm, based on technology of surface expansion, for non photorealistic object reconstruction personnel is useful.
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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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Matlab语言编写,从二维图像标记重构3维行人姿态,动态处理。非常适合在此基础上二次开发。资料包含全部代码和相关理论论文。已测试,非常完美实现。(Matlab language is used to reconstruct 3 dimensional pedestrian pose from two-dimensional image tags. Very suitable for two development on this basis. Data contains all the cod
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