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Sensors 2016, 16(3), 402; doi:10.3390/s16030402

Dynamic Human Body Modeling Using a Single RGB Camera

School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
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Academic Editor: Edoardo Charbon
Received: 28 January 2016 / Revised: 7 March 2016 / Accepted: 16 March 2016 / Published: 18 March 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [8238 KB, uploaded 18 March 2016]   |  

Abstract

In this paper, we present a novel automatic pipeline to build personalized parametric models of dynamic people using a single RGB camera. Compared to previous approaches that use monocular RGB images, our system can model a 3D human body automatically and incrementally, taking advantage of human motion. Based on coarse 2D and 3D poses estimated from image sequences, we first perform a kinematic classification of human body parts to refine the poses and obtain reconstructed body parts. Next, a personalized parametric human model is generated by driving a general template to fit the body parts and calculating the non-rigid deformation. Experimental results show that our shape estimation method achieves comparable accuracy with reconstructed models using depth cameras, yet requires neither user interaction nor any dedicated devices, leading to the feasibility of using this method on widely available smart phones. View Full-Text
Keywords: SCAPE; non-rigid reconstruction; single RGB camera; pose estimation; motion classification; structure from motion SCAPE; non-rigid reconstruction; single RGB camera; pose estimation; motion classification; structure from motion
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Zhu, H.; Yu, Y.; Zhou, Y.; Du, S. Dynamic Human Body Modeling Using a Single RGB Camera. Sensors 2016, 16, 402.

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