Shape-from-Shading represents the problem of computing the three-dimensional shape of a surface given a single gray-value image of it as input. In a recent paper, we showed that the introduction of an attenuation factor in the brightness equations related to various perspective Shape-from-Shading models allows us to ensure the well-posedness of the corresponding differential problems. Here, we propose a unified convergence result of a numerical scheme for several non-Lambertian reflectance models. This result is interesting since it can be easily extended to other non-Lambertian models in a unified and, therefore, powerful framework.

Tozza S. (2022). Perspective Shape-from-Shading Problem: A Unified Convergence Result for Several Non-Lambertian Models. JOURNAL OF IMAGING, 8(2), 1-25 [10.3390/jimaging8020036].

Perspective Shape-from-Shading Problem: A Unified Convergence Result for Several Non-Lambertian Models

Tozza S.
2022

Abstract

Shape-from-Shading represents the problem of computing the three-dimensional shape of a surface given a single gray-value image of it as input. In a recent paper, we showed that the introduction of an attenuation factor in the brightness equations related to various perspective Shape-from-Shading models allows us to ensure the well-posedness of the corresponding differential problems. Here, we propose a unified convergence result of a numerical scheme for several non-Lambertian reflectance models. This result is interesting since it can be easily extended to other non-Lambertian models in a unified and, therefore, powerful framework.
2022
Tozza S. (2022). Perspective Shape-from-Shading Problem: A Unified Convergence Result for Several Non-Lambertian Models. JOURNAL OF IMAGING, 8(2), 1-25 [10.3390/jimaging8020036].
Tozza S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/859175
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