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

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

Description

Title: A model of brightness variations due to illumination changes and non-rigid motion using spherical harmonics
Author/s:
  • Buenaposada Biencinto, José Miguel
  • Muñoz, Enrique
  • Baumela Molina, Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: British Machine Vision Conference 2008
Event Dates: 01/09/2008-04/09/2008
Event Location: Leeds, England
Title of Book: Proceedings of the British Machine Vision Conference 2008
Date: 2008
ISBN: 978 1 901725 37 7
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 4829
DC Identifier: http://oa.upm.es/4829/
OAI Identifier: oai:oa.upm.es:4829
Official URL: http://www.bmva.org/bmvc/2008/papers/252.pdf
Deposited by: Memoria Investigacion
Deposited on: 05 Nov 2010 12:45
Last Modified: 20 Apr 2016 13:53
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