Causality: Is it profitable to solve problems associated with visual data?

This report is a literature survey on causality with special emphasis on exploiting visual sensory information. It also discusses philosophical aspects of causality to establish common grounds with causal theory of perception. Current research on causal modeling involves such fields as social sciences, epidemiology, econometrics and artificial intelligence. Computer vision, or profiting from visual sensory data in general, constitutes a candidate niche of application for causal modeling. The survey supports this claim.