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Paper details
Number 3 - September 2021
Volume 31 - 2021
A linearization-based hybrid approach for 3D reconstruction of objects in a single image
Muhammed Kotan, Cemil Öz, Abdulgani Kahraman
Abstract
The shape-from-shading (SFS) technique uses the pattern of shading in images in order to obtain 3D view information. By
virtue of their ease of implementation, linearization-based SFS algorithms are frequently used in the literature. In this study,
Fourier coefficients of central differences obtained from gray-level images are employed, and two basic linearization-based
algorithms are combined. By using the functionally generated surfaces and 3D reconstruction datasets, the hybrid algorithm
is compared with linearization-based approaches. Five different evaluation metrics are applied on recovered depth maps
and the corresponding gray-level images. The results on defective sample surfaces are also included to show the effect of
the algorithm on surface reconstruction. The proposed method can prevent erroneous estimates on object boundaries and
produce satisfactory 3D reconstruction results in a low number of iterations.
Keywords
3D reconstruction, shape from shading, shape recovery, image comparison, surface inspection