PHOG: Photometric and geometric functions for textured shape retrieval. (19th August 2013)

• Record Type: Journal Article
• Authors: Biasotti, S.; Cerri, A.; Giorgi, D.; Spagnuolo, M.
• Is Part Of: Computer graphics forum. Volume 32:Number 5(2013)
• Page Start: 13
• Page End: 22
• Publication Date: 2013-08-19
• Subjects: Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.12168
• Languages: English
• ISSNs: 0167-7055

Abstract

<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>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.</p> </abstract>