高级检索
李诗锐, 郝优, 墨瀚林, 李琪, 吕永春, 王向东, 李华. 快速非刚体人体运动三维重建[J]. 计算机辅助设计与图形学学报, 2018, 30(8): 1505-1513. DOI: 10.3724/SP.J.1089.2018.16723
引用本文: 李诗锐, 郝优, 墨瀚林, 李琪, 吕永春, 王向东, 李华. 快速非刚体人体运动三维重建[J]. 计算机辅助设计与图形学学报, 2018, 30(8): 1505-1513. DOI: 10.3724/SP.J.1089.2018.16723
Li Shirui, Hao You, Mo Hanlin, Li Qi, Lyu Yongchun, Wang Xiangdong, Li Hua. Fast Non-rigid Human Motion 3D Reconstruction[J]. Journal of Computer-Aided Design & Computer Graphics, 2018, 30(8): 1505-1513. DOI: 10.3724/SP.J.1089.2018.16723
Citation: Li Shirui, Hao You, Mo Hanlin, Li Qi, Lyu Yongchun, Wang Xiangdong, Li Hua. Fast Non-rigid Human Motion 3D Reconstruction[J]. Journal of Computer-Aided Design & Computer Graphics, 2018, 30(8): 1505-1513. DOI: 10.3724/SP.J.1089.2018.16723

快速非刚体人体运动三维重建

Fast Non-rigid Human Motion 3D Reconstruction

  • 摘要: 为了实现基于单目深度传感器的快速非刚体人体运动三维重建,提出一种基于骨架的非刚体人体运动点云融合算法.首先利用分割的人体局部点云配准,对深度传感器提取的人体骨架进行修正,提高了骨架提取的准确性;当相邻2帧之间存在较大人体运动时,利用骨架驱动人体表面点云进行点云粗配准;在粗配准的基础上,利用非刚体点云融合算法进行点云的精细配准,得到精确的表面重建.实验结果表明,该算法能够鲁棒地重建快速非刚体三维人体运动.

     

    Abstract: In order to handle fast non-rigid human motion 3D reconstruction based on a single depth sensor,we proposed a non-rigid point cloud registration method base on skeleton coarse alignment. Firstly, we utilizedlocal segmented body part point clouds registration algorithm to correct the skeleton extracted by depthsensor, which effectively improved the accuracy of the skeleton extraction; then, we utilized the skeleton todrive the human body surface to do coarse alignment when there was a large human motion between twoconsecutive frames; lastly, we did fine non-rigid point cloud registration after the coarse alignment to getaccurate reconstruction. The experimental results show that our method can robustly reconstruct fast humanmotion.

     

/

返回文章
返回