Computational Gestalt Theory
According to Gestalt theory, grouping is the main process in our visual perception. Whenever points (or previously formed visual objects) have one or several characteristics in common, they get grouped and form a new, larger visual object, a Gestalt.
The Helmholtz principle is a quantitative version of this general grouping law. It states that a grouping is perceptually meaningful if its number of occurrences would be very small in a random situation: Geometric structures are then characterized as large deviations from randomness.
This principle can be applied on various topics in computer vision, including: grouping, segmentation, motion detection