Authors:
Toni Kuparinen
1
;
Ville Kyrki
1
and
Pekka Toivanen
2
Affiliations:
1
Lappeenranta University of Technology, Finland
;
2
University of Kuopio, Finland
Keyword(s):
Surface reconstruction, photometric stereo, gradient fields, Fourier domain, Wiener filter, denoising, white noise.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Pattern Recognition
;
Software Engineering
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.