Coherence fields for 3D saliency prediction

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Abstract

In the coherence theory of attention [26] a coherence field is defined by a hierarchy of structures, supporting the activities across the different stages of visual attention. At the interface between low level and mid level attention processing stages are the proto-objects, generated in parallel and collecting features of the scene at specific location and time. These structures fade away if the region is not further attended by attention. We introduce a method to computationally model these structures on the basis of experiments made in dynamic 3D environments, where the only control is due to the Gaze Machine, a gaze measurement framework that can record pupil motion at the required speed and project the point of regard in the 3D space [25],[24]. We show also how, from these volatile structures, it is possible to predict saliency in 3D dynamic environments. © 2013 Springer-Verlag.

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Pirri, F., Pizzoli, M., & Sinha, A. (2013). Coherence fields for 3D saliency prediction. In Advances in Intelligent Systems and Computing (Vol. 196 AISC, pp. 251–263). Springer Verlag. https://doi.org/10.1007/978-3-642-34274-5_45

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