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1. 长春工业大学应用技术学院,吉林,长春,130012
2. 长春一汽铸造有限公司,吉林,长春,130000
3. 长春工业大学应用技术学院,吉林,长春,130012
4. 长春一汽铸造有限公司,吉林,长春,130000
Published:2021
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LIN Jin-hua, MA Lin. An Non-Rigid Online Volume Reconstruction Method Based on Energy Optimization of Dense Deformation Field[J]. Acta Electronica Sinica, 2021, 49(5): 936-943.
LIN Jin-hua, MA Lin. An Non-Rigid Online Volume Reconstruction Method Based on Energy Optimization of Dense Deformation Field[J]. Acta Electronica Sinica, 2021, 49(5): 936-943. DOI: 10.12263/DZXB.20170915.
针对动态非刚性在线重建存在的重建漂移问题
提出了一种基于单个RGB-D传感器的稠密变形场在线融合策略
实现了对非刚性几何形状的动态重建.通过局部平滑和输入约束处理
将空间的最优变形转换为非线性正则变分优化问题
并使用数据并行闪存优化策略
以摄像机捕获速率
实现对非刚性场景的在线跟踪重建.通过实验表明
本文方法实现了对非刚性场景的鲁棒跟踪
减少了在线重建过程中的漂移现象
适用于快速运动和缺乏几何特征的场景重建.
In order to relieve the drift phenomenon in dynamic non-rigid online reconstruction
an on-line fusion strategy for dense deformation field based on a single RGB-D sensor is proposed
realizing the dynamic reconstruction for non-rigid geometries. By local smoothing and input constraint strategy
the optimal deformation problem is transformed into nonlinear regular variational optimization problem. We use the data parallel flash optimization strategy to achieve on-line tracking of non-rigid scene in camera tracking rate. Experiments show that the proposed method achieves robust tracking of non-rigid scenes
which reduces drift in the process of online reconstruction
this algorithm is suitable for fast moving scene as well as the object lack of geometric features.
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