Eye tracking devices have been extensively used to study human selection mechanisms and promoted the development of computational models of visual attention, whose well known outcomes are the saliency maps. Among the eye trackers, wearable ones have the advantages of allowing the estimation of the Point of Regard (POR) while performing natural tasks, instead of experimental, static lab settings. The motion of the viewer makes localization necessary to collect data in a coherent reference frame. In this work we present a framework for the estimation and mapping of the sequence of 3D PORs collected by a wearable device in unstructured, experimental settings. The result is a three-dimensional map of gazed objects, which we call 3D Saliency Map and constitutes the novel contribution of this work. © 2011 IEEE.

3D Saliency maps / PIRRI ARDIZZONE, Maria Fiora; Matia, Pizzoli; Daniele, Rigato; Redjan, Shabani. - ELETTRONICO. - (2011), pp. 9-14. (Intervento presentato al convegno 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 tenutosi a Colorado Springs, CO, USA nel 20 June 2011 through 25 June 2011) [10.1109/cvprw.2011.5981736].

3D Saliency maps

PIRRI ARDIZZONE, Maria Fiora;
2011

Abstract

Eye tracking devices have been extensively used to study human selection mechanisms and promoted the development of computational models of visual attention, whose well known outcomes are the saliency maps. Among the eye trackers, wearable ones have the advantages of allowing the estimation of the Point of Regard (POR) while performing natural tasks, instead of experimental, static lab settings. The motion of the viewer makes localization necessary to collect data in a coherent reference frame. In this work we present a framework for the estimation and mapping of the sequence of 3D PORs collected by a wearable device in unstructured, experimental settings. The result is a three-dimensional map of gazed objects, which we call 3D Saliency Map and constitutes the novel contribution of this work. © 2011 IEEE.
2011
2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
3D Saliency maps / PIRRI ARDIZZONE, Maria Fiora; Matia, Pizzoli; Daniele, Rigato; Redjan, Shabani. - ELETTRONICO. - (2011), pp. 9-14. (Intervento presentato al convegno 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 tenutosi a Colorado Springs, CO, USA nel 20 June 2011 through 25 June 2011) [10.1109/cvprw.2011.5981736].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/380689
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