A model for the qualitative description of images based on visual and spatial features

Authors:
Zoe Falomir;Lledó Museros;Luis Gonzalez-Abril;M. Teresa Escrig;Juan A. Ortega
Affiliations:
Department of Engineering and Computer Science, Universitat Jaume I, ES Tecnologia i Ciéncies Experimentals, Av. Vicent Sos Baynat s/n, E-12071 Castelló, Spain and Cognitive Robots SL, U ...;Department of Engineering and Computer Science, Universitat Jaume I, ES Tecnologia i Ciéncies Experimentals, Av. Vicent Sos Baynat s/n, E-12071 Castelló, Spain;Department of Applied Economics I, Universidad de Sevilla, Facultad de Ciencias Económicas, Avda. Ramón y Cajal, 1, E-41018 Sevilla, Spain;Cognitive Robots SL, Universitat Jaume I, Espaitec I, Av. Vicent Sos Baynat s/n, E-12071 Castelló, Spain;Department of Languages and Computer Systems, Universidad de Sevilla, ETS Ingeniería Informática, Avda. Reina Mercedes s/n, E-41012 Sevilla, Spain
Venue:
Computer Vision and Image Understanding
Year:
2012

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Abstract

An approach that provides a qualitative description of any image is presented in this paper. The main visual features (shape and colour) and the main spatial features (fixed orientation, relative orientation and topology) of each object within the image are described. This approach has been tested in two real scenarios that involve agents and human interaction: (i) images captured by the webcam of a mobile robot while it navigates, and (ii) images of tile compositions captured by an industrial camera used to select tile pieces to be used in assembling tile mosaics. In both scenarios, promising results have been obtained.