An Iterative Method for 3D Body Registration Using a Single RGB-D Sensor
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/71557
Título: | An Iterative Method for 3D Body Registration Using a Single RGB-D Sensor |
---|---|
Autor/es: | Villena Martínez, Víctor | Fuster-Guilló, Andrés | Saval-Calvo, Marcelo | Azorin-Lopez, Jorge |
Grupo/s de investigación o GITE: | Informática Industrial y Redes de Computadores |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | 3D Body Registration | Articulated Registration | Depth Sensor | Microsoft Kinect | RGB-D |
Área/s de conocimiento: | Arquitectura y Tecnología de Computadores |
Fecha de publicación: | 2017 |
Editor: | IGI Global |
Cita bibliográfica: | International Journal of Computer Vision and Image Processing. 2017, 7(3): 26-39. doi:10.4018/IJCVIP.2017070103 |
Resumen: | 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. |
Patrocinador/es: | This work has been supported by a grant from the University of Alicante project GRE16-28. |
URI: | http://hdl.handle.net/10045/71557 |
ISSN: | 2155-6997 (Print) | 2155-6989 (Online) |
DOI: | 10.4018/IJCVIP.2017070103 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2017, IGI Global |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.4018/IJCVIP.2017070103 |
Aparece en las colecciones: | INV - I2RC - Artículos de Revistas INV - AIA - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
2017_Villena-Martinez_etal_IntJCompVisionImageProcess_final.pdf | 903,8 kB | Adobe PDF | Abrir Vista previa | |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.