Overview :
What information about scenes can be extracted from an image using only basic assumptions about physics and optics?
How are images segmented into meaningful parts?
At what stage must domain-dependent, prior knowledge about the world be incorporated into the understanding process?
How are world models and conceptual knowledge represented and used?
These and many other questions, inherent in this relatively new and fast-growing field, are explored and answered in Computer Vision. The authors assemble crucial material from many diciplines including artificial intelligence, psychology, computer graphics, and image processing to form a practical text and reference for anyone involved in builing vision systems.
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