Computer vision tasks include methods for acquiring, processing,
analyzing, and understanding digital images, and extraction of high-
dimensional data from the real world in order to produce numerical or symbolic
information, e.g. in the form of decisions. "Understanding" in this context
signifies the transformation of visual images (the input to the retina) into
descriptions of the world that make sense to thought processes and can elicit
appropriate action. This image understanding can be seen as the disentangling
of symbolic information from image data using models constructed with the aid
of geometry, physics, statistics, and learning theory.