Geometric Hashing in Computer Vision
Geometric Hashing is a method used for object recognition. Let’s say that we want to check if a model image can be seen in an input image. This can be accomplished with geometric hashing. The method could be used to recognize one of the multiple objects in a base, in this case the hash table should store not only the pose information but also the index of object model in the base.
Read more about this topic: Geometric Hashing
Famous quotes containing the words geometric, computer and/or vision:
“New York ... is a city of geometric heights, a petrified desert of grids and lattices, an inferno of greenish abstraction under a flat sky, a real Metropolis from which man is absent by his very accumulation.”
—Roland Barthes (1915–1980)
“The computer takes up where psychoanalysis left off. It takes the ideas of a decentered self and makes it more concrete by modeling mind as a multiprocessing machine.”
—Sherry Turkle (b. 1948)
“No sooner does a great man depart, and leave his character as public property, than a crowd of little men rushes towards it. There they are gathered together, blinking up to it with such vision as they have, scanning it from afar, hovering round it this way and that, each cunningly endeavouring, by all arts, to catch some reflex of it in the little mirror of himself.”
—Thomas Carlyle (1795–1881)