Height from photometric ratio with model-based light source selection

Smith, William and Fang, Fufu (2016) Height from photometric ratio with model-based light source selection. Computer Vision and Image Understanding, 134. pp. 128-138. ISSN 1077-3142

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Abstract

In this paper, we present a photometric stereo algorithm for estimating surface height. We follow recent work that uses photometric ratios to obtain a linear formulation relating surface gradients and image intensity. Using smoothed finite difference approximations for the surface gradient, we are able to express surface height recovery as a linear least squares problem that is large but sparse. In order to make the method practically useful, we combine it with a model-based approach that excludes observations which deviate from the assumptions made by the image formation model. Despite its simplicity, we show that our algorithm provides surface height estimates of a high quality even for objects with highly non-Lambertian appearance. We evaluate the method on both synthetic images with ground truth and challenging real images that contain strong specular reflections and cast shadows.

Item Type: Article
Uncontrolled Keywords: photometric stereo,surface integration,non-lambertian reflectance,albedo estimation
Faculty \ School: Faculty of Science
Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: Pure Connector
Date Deposited: 17 Mar 2016 12:00
Last Modified: 22 Jul 2020 00:38
URI: https://ueaeprints.uea.ac.uk/id/eprint/57529
DOI: 10.1016/j.cviu.2015.11.019

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