Pubblicazioni

Autori:

Giachetti, Andrea; Ciortan, IRINA-MIHAELA; Daffara, Claudia; Marchioro, Giacomo; Ruggero, Pintus; Enrico, Gobbetti

Titolo:

A novel framework for highlight reflectance transformation imaging

Anno:

2018

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Referee:

No

Nome rivista:

Computer Vision and Image Understanding

ISSN Rivista:

1077-3142

N° Volume:

168

Intervallo pagine:

118-131

Parole chiave:

Reflactance Transformation Imaging; Image enhancement

Breve descrizione dei contenuti:

We propose a novel pipeline and related software tools for processing the multi-light image collections (MLICs) acquired in different application contexts to obtain shape and appearance information of captured surfaces, as well as to derive compact relightable representations of them. Our pipeline extends the popular Highlight Reflectance Transformation Imaging (H-RTI) framework, which is widely used in the Cultural Heritage domain. We support, in particular, perspective camera modeling, per-pixel interpolated light direction estimation, as well as light normalization correcting vignetting and uneven non-directional illumination. Furthermore, we propose two novel easy-to-use software tools to simplify all processing steps. The tools, in addition to support easy processing and encoding of pixel data, implement a variety of visualizations, as well as multiple reflectance-model-fitting options. Experimental tests on synthetic and real-world MLICs demonstrate the usefulness of the novel algorithmic framework and the potential benefits of the proposed tools for end-user applications.

Pagina Web:

http://www.sciencedirect.com/science/article/pii/S1077314217301091

Id prodotto:

98999

Handle IRIS:

11562/969018

ultima modifica:

13 novembre 2022

Citazione bibliografica:

Giachetti, Andrea; Ciortan, IRINA-MIHAELA; Daffara, Claudia; Marchioro, Giacomo; Ruggero, Pintus; Enrico, Gobbetti, A novel framework for highlight reflectance transformation imaging «Computer Vision and Image Understanding» , vol. 168 , 2018 , pp. 118-131

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