PHOG: Photometric and Geometric Functions for Textured Shape Retrieval
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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and Blackwell Publishing Ltd.
Abstract
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.
Description
@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}
}