Literature DB >> 28727553

FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras.

Lan Xu, Yebin Liu, Wei Cheng, Kaiwen Guo, Guyue Zhou, Qionghai Dai, Lu Fang.   

Abstract

Aiming at automatic, convenient and non-instrusive motion capture, this paper presents a new generation markerless motion capture technique, the FlyCap system, to capture surface motions of moving characters using multiple autonomous flying cameras (autonomous unmanned aerial vehicles(UAVs) each integrated with an RGBD video camera). During data capture, three cooperative flying cameras automatically track and follow the moving target who performs large-scale motions in a wide space. We propose a novel non-rigid surface registration method to track and fuse the depth of the three flying cameras for surface motion tracking of the moving target, and simultaneously calculate the pose of each flying camera. We leverage the using of visual-odometry information provided by the UAV platform, and formulate the surface tracking problem in a non-linear objective function that can be linearized and effectively minimized through a Gaussian-Newton method. Quantitative and qualitative experimental results demonstrate the plausible surface and motion reconstruction results.

Entities:  

Year:  2017        PMID: 28727553     DOI: 10.1109/TVCG.2017.2728660

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  Fusion Poser: 3D Human Pose Estimation Using Sparse IMUs and Head Trackers in Real Time.

Authors:  Meejin Kim; Sukwon Lee
Journal:  Sensors (Basel)       Date:  2022-06-27       Impact factor: 3.847

2.  A Novel Approach for Dynamic (4d) Multi-View Stereo System Camera Network Design.

Authors:  Piotr Osiński; Jakub Markiewicz; Jarosław Nowisz; Michał Remiszewski; Albert Rasiński; Robert Sitnik
Journal:  Sensors (Basel)       Date:  2022-02-17       Impact factor: 3.576

  2 in total

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