A model of brightness variations due to illumination changes and non-rigid motion using spherical harmonics

Buenaposada Biencinto, José Miguel; Muñoz, Enrique y Baumela Molina, Luis (2008). A model of brightness variations due to illumination changes and non-rigid motion using spherical harmonics. En: "British Machine Vision Conference 2008", 01/09/2008-04/09/2008, Leeds, England. ISBN 978 1 901725 37 7.

Descripción

Título: A model of brightness variations due to illumination changes and non-rigid motion using spherical harmonics
Autor/es:
  • Buenaposada Biencinto, José Miguel
  • Muñoz, Enrique
  • Baumela Molina, Luis
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: British Machine Vision Conference 2008
Fechas del Evento: 01/09/2008-04/09/2008
Lugar del Evento: Leeds, England
Título del Libro: Proceedings of the British Machine Vision Conference 2008
Fecha: 2008
ISBN: 978 1 901725 37 7
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Pixel brightness variations in an image sequence depend both on the objects ‘surface reflectance and on the motion of the camera and object. In the case of rigid shapes some proposed models have been very successful explaining the relation among these strongly coupled components. On the other hand, shapes which deform pose new challenges since the relation between pixel brightness variation with non-rigid motion is not yet clear. In this paper, we introduce a new model which describes brightness variations with two independent components represented as linear basis shapes. Lighting influence is represented in terms of Spherical Harmonics and non-rigid motion as a linear model which represents image coordinates displacement. We then propose an efficient procedure for the estimation of this image model in two distinct steps. First, shape normal’s and albedo are estimated using standard photometric stereo on a sequence with varying lighting and no deformable motion. Then, given the knowledge of the object’s shape normal’s and albedo, we efficiently compute the 2D coordinates bases by minimizing image pixel residuals over an image sequence with constant lighting and only non-rigid motion. Experiments on real tests show the effectiveness of our approach in a face modelling context.

Más información

ID de Registro: 4829
Identificador DC: http://oa.upm.es/4829/
Identificador OAI: oai:oa.upm.es:4829
URL Oficial: http://www.bmva.org/bmvc/2008/papers/252.pdf
Depositado por: Memoria Investigacion
Depositado el: 05 Nov 2010 12:45
Ultima Modificación: 20 Abr 2016 13:53
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