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The present research is aimed to: (i) characterize the ability of human visual system to define the objects’ slant on the base of combination of visual stimulus characteristics, that in general are uncertain and even conflicting. (ii) evaluate the influence of human age on visual cues assessment and processing; (iii) estimate the process of human visual cue integration based on the well known Normalized Conjunctive Consensus and Averaging fusion rules, as well on the base of more efficient probabilistic Proportional Conflict Redistribution rule no.5 defined within Dezert-Smarandache Theory for plausible and paradoxical reasoning. The impact of research is focused on the ability of these fusion rules to predict in adequate way the behavior of individuals, as well as age-contingent groups of individuals in visual cue integration process

Human Integration of Motion and Texture Information in Visual Slant Estimation