BSSRDF Estimation from Single Images

We present a novel method to estimate an approximation of the reflectance characteristics of optically thick, homogeneous translucent materials using only a single photograph as input. First, we approximate the diffusion profile as a linear combination of piecewise constant functions, an approach th...

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Vydáno v:Computer graphics forum Ročník 30; číslo 2; s. 455 - 464
Hlavní autoři: Munoz, Adolfo, Echevarria, Jose I., Seron, Francisco J., Lopez-Moreno, Jorge, Glencross, Mashhuda, Gutierrez, Diego
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford, UK Blackwell Publishing Ltd 01.04.2011
Témata:
Approximation
Computer graphics
Computer science
Derivatives
Display Algorithms I.4.8 [Image Processing and Computer Vision]: Scene Analysis
I.4.1 [Image Processing and Computer Vision]: Digitization and Image Capture
Light
Lighting
Mathematical analysis
Mathematical models
Reflectance I.3.3 [Computer Graphics]: Picture/Image Generation
Shading
Studies
Visual
ISSN:0167-7055, 1467-8659
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Popis
Shrnutí:We present a novel method to estimate an approximation of the reflectance characteristics of optically thick, homogeneous translucent materials using only a single photograph as input. First, we approximate the diffusion profile as a linear combination of piecewise constant functions, an approach that enables a linear system minimization and maximizes robustness in the presence of suboptimal input data inferred from the image. We then fit to a smoother monotonically decreasing model, ensuring continuity on its first derivative. We show the feasibility of our approach and validate it in controlled environments, comparing well against physical measurements from previous works. Next, we explore the performance of our method in uncontrolled scenarios, where neither lighting nor geometry are known. We show that these can be roughly approximated from the corresponding image by making two simple assumptions: that the object is lit by a distant light source and that it is globally convex, allowing us to capture the visual appearance of the photographed material. Compared with previous works, our technique offers an attractive balance between visual accuracy and ease of use, allowing its use in a wide range of scenarios including off‐the‐shelf, single images, thus extending the current repertoire of real‐world data acquisition techniques.
Bibliografie:ark:/67375/WNG-LZB133BJ-W
istex:DFCC7A904F6D59844CC623BABE52691AF970DA36
ArticleID:CGF1873
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2011.01873.x