An Iterative Method for 3D Body Registration Using a Single RGB-D Sensor

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Title: An Iterative Method for 3D Body Registration Using a Single RGB-D Sensor
Authors: Villena Martínez, Víctor | Fuster-Guilló, Andrés | Saval-Calvo, Marcelo | Azorin-Lopez, Jorge
Research Group/s: Informática Industrial y Redes de Computadores
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: 3D Body Registration | Articulated Registration | Depth Sensor | Microsoft Kinect | RGB-D
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 2017
Publisher: IGI Global
Citation: International Journal of Computer Vision and Image Processing. 2017, 7(3): 26-39. doi:10.4018/IJCVIP.2017070103
Abstract: In this paper, the problem of 3D body registration using a single RGB-D sensor is approached. It has been guided by three main requirements: low-cost, unconstrained movement and accuracy. In order to fit them, an iterative registration method for accurately aligning data from single RGB-D sensor is proposed. The data is acquired while a person rotates in front of the camera, without the need of any external marker or constraint about its pose. The articulated alignment is carried out in a model-free approach in order to be more consistent with the real data. The iterative method is divided in stages, contributing to each other by the refinement of a specific part of the acquired data. The exploratory results validate the proposed method that is able to feed on itself in each iteration improving the final result by a progressive iteration, with the required precision under the conditions of affordability and unconstrained movement acquisition.
Sponsor: This work has been supported by a grant from the University of Alicante project GRE16-28.
ISSN: 2155-6997 (Print) | 2155-6989 (Online)
DOI: 10.4018/IJCVIP.2017070103
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2017, IGI Global
Peer Review: si
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INV - AIA - Artículos de Revistas

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