Enacted Visual Perception: A Computational Model based on Piaget
  Equilibrium
  In Maurice Merleau-Ponty's phenomenology of perception, analysis of
perception accounts for an element of intentionality, and in effect therefore,
perception and action cannot be viewed as distinct procedures. In the same line
of thinking, Alva No\"{e} considers perception as a thoughtful activity that
relies on capacities for action and thought. Here, by looking into psychology
as a source of inspiration, we propose a computational model for the action
involved in visual perception based on the notion of equilibrium as defined by
Jean Piaget. In such a model, Piaget's equilibrium reflects the mind's status,
which is used to control the observation process. The proposed model is built
around a modified version of convolutional neural networks (CNNs) with enhanced
filter performance, where characteristics of filters are adaptively adjusted
via a high-level control signal that accounts for the thoughtful activity in
perception. While the CNN plays the role of the visual system, the control
signal is assumed to be a product of mind.
