PHOG: Photometric and geometric functions for textured shape retrieval
Article first published online: 19 AUG 2013
© 2013 The Author(s) Computer Graphics Forum © 2013 The Eurographics Association and John Wiley & Sons Ltd.
Computer Graphics Forum
Volume 32, Issue 5, pages 13–22, August 2013
How to Cite
Biasotti, S., Cerri, A., Giorgi, D. and Spagnuolo, M. (2013), PHOG: Photometric and geometric functions for textured shape retrieval. Computer Graphics Forum, 32: 13–22. doi: 10.1111/cgf.12168
- Issue published online: 19 AUG 2013
- Article first published online: 19 AUG 2013
- [Computer Graphics]: Shape analysis and synthesis;
- [Computer Graphics]: Geometry and topology representations
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.