An Non-Rigid Online Volume Reconstruction Method Based on Energy Optimization of Dense Deformation Field

被引：0
|
作者：
Lin J.-H. [1 ]
Ma L. [2 ]
机构：
[1] School of Application Technology, Changchun University of Technology, Jilin
[2] FAW Foundry Co., Ltd, Jilin
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2021年 / 49卷 / 05期
关键词：
Dynamic reconstruction; RGB-D sensor; Robust tracking;
D O I：
10.12263/DZXB.20170915
中图分类号：
学科分类号：
摘要：
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. © 2021, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码：936 / 943
页数：7
相关论文
共 16 条
  • [1] Newcombe R A, Izadi S, Hilliges O, Et al., KinectFusion: Real-time dense surface mapping and tracking, Proceedings of IEEE International Symposium on Mixed and Augmented Reality, pp. 127-136, (2011)
  • [2] Zeng M, Zhao F K, Zheng J X, Et al., Octree-based fusion for realtime 3D reconstruction, Graphical Models, 75, 3, pp. 126-136, (2013)
  • [3] Chen J W, Bautembach D, Izadi S., Scalable real-time volumetric surface reconstruction, ACM Transactions on Graphics, 32, 4, pp. 1-16, (2013)
  • [4] Du H B, Zhao Y W, Han J D, Et al., Data fusion of human skeleton joint tracking using two kinect sensors and extended set membership filter, Acta Automatica Sinica, 42, 12, pp. 1886-1898, (2016)
  • [5] Steinbrucker F, Sturm J, Cremers D., Volumetric 3D mapping in real-time on a CPU, Proceedings of IEEE International Conference on Robotics and Automation(ICRA), pp. 2021-2028, (2014)
  • [6] Zollhofer M, Niebetaner M, Izadi S, Et al., Real-time non-rigid reconstruction using an RGB-D camera, ACM Transactions on Graphics, 33, 4, pp. 1-12, (2014)
  • [7] Collet A, Chuang M, Sweeney P, Et al., High-quality streamable free-viewpoint video, ACM Transactions on Graphics, 34, 4, pp. 1-13, (2015)
  • [8] Guo K W, Xu F, Wang Y G, Et al., Robust non-rigid motion tracking and surface reconstruction using L0 regularization, Proceeding of IEEE International Conference on Computer Vision(ICCV), pp. 3083-3091, (2015)
  • [9] Garg R, Roussos A, Agapito L., Dense variational reconstruction of non-rigid surfaces from monocular video, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1272-1279, (2013)
  • [10] Li H, Vouga E, Gudym A, Et al., 3D self-portraits, ACM Transactions on Graphics, 32, 6, (2013)
12