Unique Reconstruction of a Lambertian Optical Surface fromImages

Within the framework of inverse problems of photometry, we study questions on reconstruction of the spatial location and luminosity of a Lambertian optical surface from its images obtained with the use of a small number of optical systems. We study causes of ambiguity in reconstruction of the location of such a surface. We suggest criteria for existence of a unique solution of the inverse problem on reconstruction of a luminous surface from three images for general weight functions and apply the results to specific classes of weight functions that model the degree of transparency of the medium (including its absorption or scattering).

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Publication Details

Journal
Siberian Advances in Mathematics
Published
2024-09-01
DOI
https://doi.org/10.1134/s1055134424030036
Citations
1
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
0.63
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article

Unique Reconstruction of a Lambertian Optical Surface fromImages

E. Yu. Derevtsov
1 citations
Siberian Advances in Mathematics
Computer Graphics and Visualization Techniques
0.63
article

Unique Reconstruction of a Lambertian Optical Surface fromImages

E. Yu. Derevtsov
article en
1 citations

Abstract

Within the framework of inverse problems of photometry, we study questions on reconstruction of the spatial location and luminosity of a Lambertian optical surface from its images obtained with the use of a small number of optical systems. We study causes of ambiguity in reconstruction of the location of such a surface. We suggest criteria for existence of a unique solution of the inverse problem on reconstruction of a luminous surface from three images for general weight functions and apply the results to specific classes of weight functions that model the degree of transparency of the medium (including its absorption or scattering).

Siberian Advances in MathematicsVol. 34(3)
Sobolev Institute of Mathematics (RU)
Sustainable cities and communities
Openalex Percentile: Top 21%
Computer Graphics and Visualization Techniques
0.63
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