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Proceedings Paper

Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history
Author(s): Nuno Pinho da Silva; Manuel Marques; Gustavo Carneiro; João P. Costeira
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Paper Abstract

Painted tile panels (Azulejos) are one of the most representative Portuguese forms of art. Most of these panels are inspired on, and sometimes are literal copies of, famous paintings, or prints of those paintings. In order to study the Azulejos, art historians need to trace these roots. To do that they manually search art image databases, looking for images similar to the representation on the tile panel. This is an overwhelming task that should be automated as much as possible. Among several cues, the pose of humans and the general composition of people in a scene is quite discriminative. We build an image descriptor, combining the kinematic chain of each character, and contextual information about their composition, in the scene. Given a query image, our system computes its similarity profile over the database. Using nearest neighbors in the space of the descriptors, the proposed system retrieves the prints that most likely inspired the tiles' work.

Paper Details

Date Published: 8 March 2011
PDF: 9 pages
Proc. SPIE 7869, Computer Vision and Image Analysis of Art II, 786905 (8 March 2011); doi: 10.1117/12.872130
Show Author Affiliations
Nuno Pinho da Silva, Univ. Técnica de Lisboa (Portugal)
Manuel Marques, Univ. Técnica de Lisboa (Portugal)
Gustavo Carneiro, Univ. Técnica de Lisboa (Portugal)
João P. Costeira, Univ. Técnica de Lisboa (Portugal)


Published in SPIE Proceedings Vol. 7869:
Computer Vision and Image Analysis of Art II
David G. Stork; Jim Coddington; Anna Bentkowska-Kafel, Editor(s)

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