PHOG: Photometric and Geometric Functions for Textured Shape Retrieval
Date
2013Author
Biasotti, Silvia
Cerri, Andrea
Giorgi, Daniela
Spagnuolo, Michaela
Metadata
Show full item recordAbstract
In this paper we target the problem of textured 3D object retrieval. As a first contribution, we show how to include photometric information in the persistence homology setting, also proposing a novel theoretical result about multidimensional persistence spaces. As a second contribution, we introduce a generalization of the integral geodesic distance which fuses shape and color properties. Finally, we adopt a purely geometric description based on the selection of geometric functions that are mutually independent. The photometric, hybrid and geometric descriptions are combined into a signature, whose performance is tested on a benchmark dataset.
BibTeX
@article {10.1111:cgf.12168,
journal = {Computer Graphics Forum},
title = {{PHOG: Photometric and Geometric Functions for Textured Shape Retrieval}},
author = {Biasotti, Silvia and Cerri, Andrea and Giorgi, Daniela and Spagnuolo, Michaela},
year = {2013},
publisher = {The Eurographics Association and Blackwell Publishing Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.12168}
}
journal = {Computer Graphics Forum},
title = {{PHOG: Photometric and Geometric Functions for Textured Shape Retrieval}},
author = {Biasotti, Silvia and Cerri, Andrea and Giorgi, Daniela and Spagnuolo, Michaela},
year = {2013},
publisher = {The Eurographics Association and Blackwell Publishing Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.12168}
}