电子学报 ›› 2021, Vol. 49 ›› Issue (5): 936-943.DOI: 10.12263/DZXB.20170915
林金花1, 马林2
收稿日期:
2017-08-08
修回日期:
2020-10-10
出版日期:
2021-05-25
作者简介:
基金资助:
LIN Jin-hua1, MA Lin2
Received:
2017-08-08
Revised:
2020-10-10
Online:
2021-05-25
Published:
2021-05-25
Supported by:
摘要: 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.
中图分类号:
林金花, 马林. 基于稠密变形场能量优化的非刚性在线体积重建方法[J]. 电子学报, 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.
[1] Newcombe R A,Izadi S,Hilliges O,et al.KinectFusion:Real-time dense surface mapping and tracking[A].Proceedings of IEEE International Symposium on Mixed and Augmented Reality[C].New York,USA:IEEE,2011.127-136. [2] Zeng M,Zhao F K,Zheng J X,et al.Octree-based fusion for realtime 3D reconstruction[J].Graphical Models,2013,75(3):126-136. [3] Chen J W,Bautembach D,Izadi S.Scalable real-time volumetric surface reconstruction[J].ACM Transactions on Graphics,2013,32(4):1-16. [4] 杜惠斌,赵忆文,韩建达,等.基于集员滤波的双Kinect人体关节点数据融合[J].自动化学报,2016,42(12):1886-1898. 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[J].Acta Automatica Sinica,2016,42(12):1886-1898.(in Chinese). [5] Steinbrucker F,Sturm J,Cremers D.Volumetric 3D mapping in real-time on a CPU[A].Proceedings of IEEE International Conference on Robotics and Automation(ICRA)[C].Hong Kong,China:IEEE,2014.2021-2028. [6] Zollhöfer M,Nieβner M,Izadi S,et al.Real-time non-rigid reconstruction using an RGB-D camera[J].ACM Transactions on Graphics,2014,33(4):1-12. [7] Collet A,Chuang M,Sweeney P,et al.High-quality streamable free-viewpoint video[J].ACM Transactions on Graphics,2015,34(4):1-13. [8] Guo K W,Xu F,Wang Y G,et al.Robust non-rigid motion tracking and surface reconstruction using L0 regularization[A].Proceeding of IEEE International Conference on Computer Vision(ICCV)[C].Santiago,Chile:IEEE,2015.3083-3091. [9] Garg R,Roussos A,Agapito L.Dense variational reconstruction of non-rigid surfaces from monocular video[A].Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition[C].New York,USA:IEEE,2013.1272-1279. [10] Li H,Vouga E,Gudym A,et al.3D self-portraits[J].ACM Transactions on Graphics,2013,32(6):187.1-187.9. [11] 裘国永,刘静娜,刘中华,等.最小特征值的迭代非刚性三维摄影重建方法[J].电子学报,2017,45(5):1211-1217. Qiu G Y,Liu J N,Liu Z H,et al.Iteration projection reconstruction method for 3D non-rigid based on minimal eigenvalue[J].Acta Electronica Sinica,2017,45(5):1211-1217.(in Chinese). [12] Wang R Z,Wei L U,Vouga E,et al.Capturing dynamic textured surfaces of moving targets[A].Proceedings of the European Conference on Computer Vision[C].Cham,Switzerland:Springer International Publishing,2016.271-288. [13] 李倩玉,蒋建国,齐美彬.基于改进深层网络的人脸识别算法[J].电子学报,2017,45(3):619-625. Li Q Y,Jiang J G,Qi M L.Face recognition algorithm based on improved deep networks[J].Acta Electronica Sinica,2017,45(3):619-625.(in Chinese). [14] 陈宝华,邓磊,陈志祥,等.基于即时稠密三维重构的无人机视觉定位[J].电子学报,2017,45(6):1294-1300. Chen B H,Deng L,Chen Z X,et al.Instant dense 3D reconstruction-based UAV vision localization[J].Acta Electronica Sinica,2017,45(6):1294-1300.(in Chinese). [15] Newcombe R A,Fox D,Seitz S M.DynamicFusion:Reconstruction and tracking of non-rigid scenes in real-time[A].Proceedings of Computer Vision and Pattern Recognition[C].New York,USA:IEEE,2015.343-352. [16] Sorkine O,Alexa M.As-rigid-as-possible surface modeling[A].Proceedings of Eurographics Symposium on Geometry Processing[C].Barcelona,Spain:Eurographics Association,2007.109-116. |
[1] | 陈君毅, 蒋德琛, 王智铭, 曹佳禾, 王勇. 一种基于双维度滤波和自适应定长化的FMCW雷达手势识别算法研究[J]. 电子学报, 2023, (): 1-9. |
[2] | 韩光洁, 赵腾飞, 刘立, 张帆, 徐政伟. 基于多元区域集划分的工业数据流概念漂移检测[J]. 电子学报, 2023, (): 1-11. |
[3] | 彭锦佳, 王辉兵. 基于异构卷积神经网络集成的无监督行人重识别方法[J]. 电子学报, 2023, (): 1-13. |
[4] | 余伶俐, 易倩, 金鸣岳, 周开军. 面向仿射目标识别的几何与仿生融合特征提取方法[J]. 电子学报, 2023, (): 1-12. |
[5] | 郭凯红, 崔明茜, 刘婷婷. 模糊知识测度下图像脉冲噪声去除方法[J]. 电子学报, 2023, (): 1-14. |
[6] | 李杨帅, 彭斐, 韩倩, 李小帅, 解光军. 一种针对QCA电路自动布局布线的混合策略研究[J]. 电子学报, 2023, 51(3): 666-674. |
[7] | 吕杭, 蒋明峰, 李杨, 张鞠成, 王志康. 基于混合时频域特征的卷积神经网络心律失常分类方法的研究[J]. 电子学报, 2023, 51(3): 701-711. |
[8] | 郑云飞, 王晓兵, 张雄伟, 曹铁勇, 孙蒙. 基于金字塔知识的自蒸馏HRNet目标分割方法[J]. 电子学报, 2023, 51(3): 746-756. |
[9] | 隗昊, 唐焕玲, 周爱, 张益嘉, 陈飞, 鲁明羽. 基于双路分段注意力神经张量网络的临床文本关系抽取[J]. 电子学报, 2023, 51(3): 658-665. |
[10] | 黄赟, 张帆, 郭威, 陈立, 羊光. 一种基于数据标准差的卷积神经网络量化方法[J]. 电子学报, 2023, 51(3): 639-647. |
[11] | 范兵兵, 何庭建, 张聪炫, 陈震, 黎明. 联合遮挡约束与残差补偿的特征金字塔光流计算方法[J]. 电子学报, 2023, 51(3): 648-657. |
[12] | 张晶, 王翌歆, 任永功. 统一全局空间表达的脑电信号跨被试情感识别[J]. 电子学报, 2023, (): 1-9. |
[13] | 申铉京, 李涵宇, 黄永平, 王玉. 基于自适应多尺度特征融合网络的车辆检测方法[J]. 电子学报, 2023, (): 1-9. |
[14] | 陈习坤, 杨俊美. 基于离散小波包变换与胶囊生成对抗网络的语音超分辨率算法[J]. 电子学报, 2023, (): 1-11. |
[15] | 张娜, 包梓群, 罗源, 吴彪, 涂小妹. 基于改进Cascade R-CNN算法在目标检测上的应用[J]. 电子学报, 2023, (): 1-11. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||