Abstract
In this paper, we present a noise reduction method for photometric stereo based surface reconstruction of surfaces with high frequency height variation. Such surfaces are important for many industrial settings, for example, in paper and textile manufacturing. The paper presents the derivation of the effect of white image noise to gradient fields. Based on the derivation, a denoising approach of the gradient fields using the Wiener filter is proposed. Several known surface reconstruction methods with and without the proposed denoising approach are evaluated experimentally, with respect to the effect of the noise, and the boundary conditions of the reconstruction. The experimental results validate that the proposed approach improves the surface reconstruction on surfaces with high frequency height variation.
| Original language | English |
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| Title of host publication | VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings |
| Publisher | Instituto Sistemas e Tecnologias de Informação, Controlo e Comunicação |
| Pages | 571-576 |
| Number of pages | 6 |
| Volume | 2 |
| ISBN (Print) | 978-989-8111-21-0 |
| Publication status | Published - 2008 |
| MoE publication type | A4 Conference publication |
| Event | International Conference on Computer Vision Theory and Applications - Funchal, Madeira, Portugal Duration: 22 Jan 2008 → 25 Jan 2008 Conference number: 3 |
Conference
| Conference | International Conference on Computer Vision Theory and Applications |
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| Abbreviated title | VISAPP |
| Country/Territory | Portugal |
| City | Funchal, Madeira |
| Period | 22/01/2008 → 25/01/2008 |
Keywords
- Denoising
- Fourier domain
- Gradient fields
- Photometric stereo
- Surface reconstruction
- White noise
- Wiener filter