Abstract
The shape of an object is a basic characteristic that when attracts the viewers’ attention represents a salient feature. In this paper we propose a computational measure of saliency of the shape of 3D objects in virtual reality, based on the proportion of empty and full space within its bounding box. This measure of saliency is part of a computational model aimed to the selection of appropriate reference objects to facilitate the location of objects within a 3D virtual environment. An experiment was conducted to understand to which extent the proposed measure of saliency matches with the people’s subjective perception of saliency; results showed a good performance of the metric.
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Acknowledgments
Graciela Lara holds a PROMEP scholarship in partnership with the UDG (UDG-685), Mexico. We also thank the students Adrián Calle Murillo, Roberto Mendoza Vasquez, and Álvaro Iturmendi Muñoz for their help in the implementation of the metric and the experimental software application and materials.
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Lara, G., De Antonio, A., Peña, A. (2016). A Computational Measure of Saliency of the Shape of 3D Objects. In: Mejia, J., Munoz, M., Rocha, Á., Calvo-Manzano, J. (eds) Trends and Applications in Software Engineering. Advances in Intelligent Systems and Computing, vol 405. Springer, Cham. https://doi.org/10.1007/978-3-319-26285-7_20
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DOI: https://doi.org/10.1007/978-3-319-26285-7_20
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