Abstract
The interaction of biological agents within the real world is based on their abilities and the affordances of the environment. By contrast, the classical view of perception considers only sensory features, as do most object recognition models. Only a few models make use of the information provided by the integration of sensory information as well as possible or executed actions. Neither the relations shaping such an integration nor the methods for using this integrated information in appropriate representations are yet entirely clear. We propose a probabilistic model integrating the two information sources in one system. The recognition process is equipped with an utility maximization principle to obtain optimal interactions with the environment
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Aloimonos, J., Weiss, I., Bandyopadhyay, A.: Active vision. International Journal of Computer Vision 1(4), 333–356 (1988)
Bajcsy, R.: Active perception. Proceedings of the IEEE 76(8), 966–1005 (1988)
Gibson, J.: The ecological approach to visual perception. Houghton Mifflin, Boston (1992)
Grèzes, J., Decety, J.: Does visual perception of object afford action? Evidence from a Neuroimaging study. Neuropsychologia 40(2), 212–222 (2002)
Helbig, H.B., Graf, M., Kiefer, M.: The role of action representations in visual object recognition. Experimental Brain Research 174(2), 221–228 (2006)
Hurley, S.L.: Consciousness in action. Harvard University Press (2002)
Neisser, U.: Cognition and reality: Principles and implications of cognitive psychology. WH Freeman/Times Books/Henry Holt & Co. (1976)
Noë, A.: Action in Perception. MIT Press (2004)
Oliva, A., Torralba, A.: Building the gist of a scene: The role of global image features in recognition. Progress in Brain Research 155, 23–36 (2006)
O’Regan, J.K., Noë, A.: A sensorimotor account of vision and visual consciousness. Behavioral and Brain Sciences 24(5), 939–972 (2001)
Schill, K., Umkehrer, E., Beinlich, S., Krieger, G., Zetzsche, C.: Scene analysis with saccadic eye movements: top-down and bottom-up modeling. Journal of Electronic Imaging 10(1), 152–160 (2001)
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Kluth, T., Nakath, D., Reineking, T., Zetzsche, C., Schill, K. (2015). Affordance-Based Object Recognition Using Interactions Obtained from a Utility Maximization Principle. In: Agapito, L., Bronstein, M., Rother, C. (eds) Computer Vision - ECCV 2014 Workshops. ECCV 2014. Lecture Notes in Computer Science(), vol 8926. Springer, Cham. https://doi.org/10.1007/978-3-319-16181-5_29
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DOI: https://doi.org/10.1007/978-3-319-16181-5_29
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