Titlebook: Robotic Object Recognition Using Vision and Touch; Peter K. Allen Book 1987 Kluwer Academic Publishers 1987 Interpolation.Region Growing.S

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Peter K. Allene beginning of each chapter. The book also includes highly practical presentations of typical case scenarios seen in an anatomic pathology laboratory.? These?are in the form of case presentations with step-by-s978-3-319-86150-0978-3-319-57386-1

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2-D Vision,uch that a specularity or reflection upsets the silhouette algorithms, recognition becomes impossible. What these systems lack is a way of inferring and understanding the 3-D structure of the objects to be recognized. The human visual system has little trouble performing such tasks. We can understan

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Book 1987ss shape . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 7. 3. 3 Feature attribute matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 7. 3. 4 Surface attrib

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Model Data Base,rmation. The modeling system must be able to adequately model the complexity of the objects in the environment and it must contain enough structure to allow the low level sensory data to map into the model data base during the matching phase of the recognition cycle.

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Introduction,sed by science fiction writers and futurists and embodied in movies and toys. Over the last ten years, great strides haven been made towards this goal. The decreasing cost of computing power coupled with the drive for higher productivity has led to the introduction of many robots onto factory floors

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Model Data Base, recognition. The global structure of the objects which is encoded in the models is used to understand and place in context the low level sensing information. The modeling system must be able to adequately model the complexity of the objects in the environment and it must contain enough structure to