A linearization-based hybrid approach for 3D reconstruction of objects in a single image

• Autorzy: Kotan Muhammed , Öz Cemil , Kahraman Abdulgani

Identyfikatory

DOI

10.34768/amcs-2021-0034

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

3D reconstruction; shape from shading; shape recovery; image comparison; surface inspection

PL

rekonstrukcja 3D; odzyskiwanie kształtu; porównywanie obrazów; inspekcja powierzchni

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2021
• Tom: Vol. 31, no. 3
• Strony: 501--513
• Opis fizyczny: Bibliogr. 51 poz., rys., tab.

Twórcy

autor

Kotan Muhammed

• Department of Information Systems Engineering, Sakarya University, Esentepe Campus, Serdivan, Sakarya, 54050, Turkey

autor

Öz Cemil

• Department of Computer Engineering, Sakarya University, Esentepe Campus, Serdivan, Sakarya, 54050, Turkey

autor

Kahraman Abdulgani

• Department of Computer Engineering and Computer Science, University of Louisville, Belknap Campus, Louisville, KY 40292, USA

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).