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THREE-DIMENSIONAL RECONSTRUCTION METHOD AND DEVICE UNITING RIGID MOTION AND NON-RIGID DEFORMATION

机译:三维重构方法及装置刚体运动和非刚体变形

摘要

A three-dimensional reconstruction method and device uniting a rigid motion and a non-rigid deformation. The method comprises: performing a depth camera-based photography on a target object to obtain a single depth image (S101); performing three-dimensional framework extraction on a depth point cloud by means of a three-dimensional framework extraction algorithm (S102); obtaining a matching point pair between a three-dimensional point cloud and vertexes of a reconstruction model; establishing an energy function according to the matching point pair and three-dimensional framework information, solving a non-rigid motion position conversion parameter of each vertex on the reconstruction model, and optimizing an object framework parameter (S104); performing GPU optimal solution on the energy function to obtain the non-rigid deformation of each surface vertex, and deforming the previous frame of reconstruction three-dimensional model according to the solving result, so that the deformed model is aligned with the current frame of three-dimensional point cloud (S105); and obtaining the current frame of updated model to enter iteration of the next frame. The method can effectively improve the real-time performance, robustness, and accuracy of reconstruction, is high in expandability, and simple and easy to be implemented.
机译:结合刚性运动和非刚性变形的三维重建方法和装置。该方法包括:对目标对象执行基于深度相机的摄影以获得单个深度图像(S101);以及通过三维框架提取算法对深度点云进行三维框架提取(S102);获取三维点云与重建模型顶点之间的匹配点对;根据匹配点对和三维框架信息建立能量函数,在重建模型上求解每个顶点的非刚性运动位置转换参数,并优化对象框架参数(S104);对能量函数进行GPU最优解,得到每个表面顶点的非刚性变形,并根据求解结果使重构三维模型的前一帧变形,使变形后的模型与当前三个顶点的帧对齐维点云(S105);获得更新模型的当前框架以输入下一框架的迭代。该方法可以有效地提高实时性能,鲁棒性和重构精度,扩展性高,并且易于实现。

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