Methodology based on registration techniques for representing subjects and their deformations acquired from general purpose 3D sensors

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/49990
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Title: Methodology based on registration techniques for representing subjects and their deformations acquired from general purpose 3D sensors
Authors: Saval-Calvo, Marcelo
Research Director: Azorín López, Jorge | Fuster Guilló, Andrés
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Rigid registration | Non-rigid registration | RGB-D sensors | 3D point cloud | 3D deformation analysis
Knowledge Area: Arquitectura y Tecnología de Computadores
Date Created: 2015
Issue Date: 2015
Date of defense: 29-May-2015
Publisher: Universidad de Alicante
Abstract: In this thesis a methodology for representing 3D subjects and their deformations in adverse situations is studied. The study is focused in providing methods based on registration techniques to improve the data in situations where the sensor is working in the limit of its sensitivity. In order to do this, it is proposed two methods to overcome the problems which can difficult the process in these conditions. First a rigid registration based on model registration is presented, where the model of 3D planar markers is used. This model is estimated using a proposed method which improves its quality by taking into account prior knowledge of the marker. To study the deformations, it is proposed a framework to combine multiple spaces in a non-rigid registration technique. This proposal improves the quality of the alignment with a more robust matching process that makes use of all available input data. Moreover, this framework allows the registration of multiple spaces simultaneously providing a more general technique. Concretely, it is instantiated using colour and location in the matching process for 3D location registration.
URI: http://hdl.handle.net/10045/49990
Language: eng
Type: info:eu-repo/semantics/doctoralThesis
Rights: Licencia Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0
Appears in Collections: Doctoral theses

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