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PATTERN RECOGNITION FOR COMPUTER VISION
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algorithm analysis angle application approach array assumed automated average basic bias force Block boundary calculated camera cell combined commands complex components connected considered coordinates corresponding cost defined described detection determine developed direction distance edge element Engineering error example extraction face Figure force frame function fuzzy given handling important industrial input inspection intelligence joint knowledge language learning load machine manipulator mapping matching material measure method motion moving needed object operation original output pattern performed pixel plane position possible presented problem procedure processing produce projection provides recognition reference region represent representation Research resolution robot rotation scale scene segments sensor shape shown shows solution space step structure surface Table task techniques transform translation University vector vision system