CUED Publications database

Semi-calibrated Near Field Photometric Stereo

Logothetis, F and Mecca, R and Cipolla, R (2017) Semi-calibrated Near Field Photometric Stereo. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017-7-21 to 2017-7-26, Honolulu, HI, USA pp. 4521-4530.. (Unpublished)

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Abstract

3D reconstruction from shading information through Photometric Stereo is considered a very challenging problem in Computer Vision. Although this technique can potentially provide highly detailed shape recovery, its accuracy is critically dependent on a numerous set of factors among them the reliability of the light sources in emitting a constant amount of light. In this work, we propose a novel variational approach to solve the so called semi-calibrated near field Photometric Stereo problem, where the positions but not the brightness of the light sources are known. Additionally, we take into account realistic modeling features such as perspective viewing geometry and heterogeneous scene composition, containing both diffuse and specular objects. Furthermore, we also relax the point light source assumption that usually constraints the near field formulation by explicitly calculating the light attenuation maps. Synthetic experiments are performed for quantitative evaluation for a wide range of cases whilst real experiments provide comparisons, qualitatively outperforming the state of the art.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:56
Last Modified: 10 Apr 2021 22:27
DOI: 10.1109/CVPR.2017.481