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


Autoria(s): Saval Calvo, Marcelo
Contribuinte(s)

Azorín López, Jorge

Fuster Guilló, Andrés

Universidad de Alicante. Departamento de Tecnología Informática y Computación

Data(s)

05/10/2015

05/10/2015

2015

2015

29/05/2015

Resumo

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.

Identificador

http://hdl.handle.net/10045/49990

Idioma(s)

eng

Publicador

Universidad de Alicante

Direitos

Licencia Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0

info:eu-repo/semantics/openAccess

Palavras-Chave #Rigid registration #Non-rigid registration #RGB-D sensors #3D point cloud #3D deformation analysis #Arquitectura y Tecnología de Computadores
Tipo

info:eu-repo/semantics/doctoralThesis