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An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing.

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Title: An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing.
Authors: Alexiadis, Dimitrios S.1, Chatzitofis, Anargyros1, Zioulis, Nikolaos1, Zoidi, Olga1, Louizis, Georgios1, Zarpalas, Dimitrios1, Daras, Petros1
Source: IEEE Transactions on Circuits & Systems for Video Technology. Apr2017, Vol. 27 Issue 4, p798-813. 16p.
Subjects: Motion capture (Cinematography), Three-dimensional imaging, Image reconstruction, Kinect (Motion sensor), Human skeleton
Abstract: The latest developments in 3D capturing, processing, and rendering provide means to unlock novel 3D application pathways. The main elements of an integrated platform, which target tele-immersion and future 3D applications, are described in this paper, addressing the tasks of real-time capturing, robust 3D human shape/appearance reconstruction, and skeleton-based motion tracking. More specifically, initially, the details of a multiple RGB-depth (RGB-D) capturing system are given, along with a novel sensors’ calibration method. A robust, fast reconstruction method from multiple RGB-D streams is then proposed, based on an enhanced variation of the volumetric Fourier transform-based method, parallelized on the Graphics Processing Unit, and accompanied with an appropriate texture-mapping algorithm. On top of that, given the lack of relevant objective evaluation methods, a novel framework is proposed for the quantitative evaluation of real-time 3D reconstruction systems. Finally, a generic, multiple depth stream-based method for accurate real-time human skeleton tracking is proposed. Detailed experimental results with multi-Kinect2 data sets verify the validity of our arguments and the effectiveness of the proposed system and methodologies. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Transactions on Circuits & Systems for Video Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing.
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  Data: <searchLink fieldCode="AR" term="%22Alexiadis%2C+Dimitrios+S%2E%22">Alexiadis, Dimitrios S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chatzitofis%2C+Anargyros%22">Chatzitofis, Anargyros</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zioulis%2C+Nikolaos%22">Zioulis, Nikolaos</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zoidi%2C+Olga%22">Zoidi, Olga</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Louizis%2C+Georgios%22">Louizis, Georgios</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zarpalas%2C+Dimitrios%22">Zarpalas, Dimitrios</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Daras%2C+Petros%22">Daras, Petros</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="DE" term="%22Motion+capture+%28Cinematography%29%22">Motion capture (Cinematography)</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Image+reconstruction%22">Image reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22Kinect+%28Motion+sensor%29%22">Kinect (Motion sensor)</searchLink><br /><searchLink fieldCode="DE" term="%22Human+skeleton%22">Human skeleton</searchLink>
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  Data: The latest developments in 3D capturing, processing, and rendering provide means to unlock novel 3D application pathways. The main elements of an integrated platform, which target tele-immersion and future 3D applications, are described in this paper, addressing the tasks of real-time capturing, robust 3D human shape/appearance reconstruction, and skeleton-based motion tracking. More specifically, initially, the details of a multiple RGB-depth (RGB-D) capturing system are given, along with a novel sensors’ calibration method. A robust, fast reconstruction method from multiple RGB-D streams is then proposed, based on an enhanced variation of the volumetric Fourier transform-based method, parallelized on the Graphics Processing Unit, and accompanied with an appropriate texture-mapping algorithm. On top of that, given the lack of relevant objective evaluation methods, a novel framework is proposed for the quantitative evaluation of real-time 3D reconstruction systems. Finally, a generic, multiple depth stream-based method for accurate real-time human skeleton tracking is proposed. Detailed experimental results with multi-Kinect2 data sets verify the validity of our arguments and the effectiveness of the proposed system and methodologies. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of IEEE Transactions on Circuits & Systems for Video Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/TCSVT.2016.2576922
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      – SubjectFull: Three-dimensional imaging
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      – SubjectFull: Image reconstruction
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              Text: Apr2017
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