Istituto di Scienza e Tecnologie dell'Informazione     
Biasotti S., Cerri A., Giorgi D., Spagnuolo M. PHOG: photometric and geometric functions for textured shape retrieval. In: Computer Graphics Forum, vol. 32 (5) pp. 13 - 22. Special issue: Proceedings Eurographics Symposium on Geometry Processing 2013. Wiley, 2013.
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.
URL: http://onlinelibrary.wiley.com/doi/10.1111/cgf.12168/abstract
DOI: 10.1111/cgf.12168
Subject Shape Analysis
3D Retrieval
Computational Topology
Computer Graphics. Shape analysis and synthesis
Computer Graphics. Geometry and topology representations

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