CANESSA , Andrea

A neural network architecture able to autonomously learn effective disparity-vergence responses and drive the vergence eye movements of a simulated binocular active vision system is proposed. The proposed approach, instead of exploiting purposely designed resources, relies on the direct use of a set of real disparity tuning curves, measured in...

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Depth perception in near viewing strongly relies on the interpretation of binocular retinal disparity to obtain stereopsis. Statistical regularities of retinal disparities have been claimed to greatly impact on the neural mechanisms that underlie binocular vision, both to facilitate perceptual decisions and to reduce computational load. In this...

A robotic system implementation that exhibits autonomous learning capabilities of effective control for vergence eye movements is presented. The system, directly relying on a distributed (i.e. neural) representation of binocular disparity, shows a large tolerance to the inaccuracies of real stereo heads and to the changeable environment. The...

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A computational model for the control of horizontal vergence, based on a population of disparity tuned complex cells, is presented. The model directly extracts the disparity-vergence response by combining the outputs of the disparity detectors without explicit calculation of the disparity map. The resulting vergence control yields to stable...

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A Human–machine interaction system requires precise information about the user's body position, in order to allow a natural 3D interaction in stereoscopic augmented reality environments, where real and virtual objects should coherently coexist. The diffusion of RGB-D sensors seems to provide an effective solution to such a problem....

The ability of a real robot system to interact with the surrounding environment is subordinate to its ability of perceiving it correctly. Since the perception of depth directly relates to the ability of looking at the same point in space with both the cameras, i.e. to verge on a target object, it is essential for the system to gain a proper...

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A computational model for the control of horizontal vergence, based on a population of disparity tuned complex cells, is presented. Since the population is able to extract the disparity map only in a limited range, using the map to drive vergence control means to limit its functionality inside this range. The model directly extracts the...

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