By J. Serra (auth.), V. Cantoni, V. Di Gesù, S. Levialdi (eds.)

This e-book includes the complaints of the 4th foreign convention on facts research and Processing held in Cefalu' (Palermo, ITALY) on September 23-25 1987. the purpose of this convention, now at its fourth variation, used to be to provide a basic view of the particular study within the quarter of equipment and structures for reaching synthetic imaginative and prescient in addition to to have an up-dated info of the present job in Europe. a couple of invited audio system offered overviews of statistical type difficulties and techniques, non traditional archi­ tectures, mathematical morphology, robot imaginative and prescient, research of diversity pictures in imaginative and prescient platforms, development matching algorithms and astronomical info processing. ultimately a survey of the dialogue at the contribution of AI to snapshot research is given. The papers offered on the convention were subdivided in 4 sections: wisdom dependent methods, simple development reputation instruments, multi gains method dependent suggestions, picture analysis-applications. We needs to thank the IBM-Italia and the electronic apparatus Corpo­ ration for sponsoring this convention. We consider that the times spent at Cefalu' have been a tremendous step towards the mutual trade of clinical info in the snapshot processing group. v. Cantoni Pavia college V. Di Gesu' Palermo collage S. Levialdi Rome collage v CONTENTS INVITED LECTURES . • • • • . • • • three Morphological Optics.

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In Russian). 14. V. I. 2, 66-72 (in Russian). 39 UNDERSTANDING UNCONVENTIONAL IMAGES T. , KlN-6N5, Canada ABSTRACT A computational strategy is suggested for images obtained from a laser range finding scanner. The scanned scenes may contain many objects of arbitrary sizes and in arbitrary positions and orientations. No a priori information is available on scene contents but the scenes are assumed to be "man-made". The computations are mathematically very simple but many steps have to be carried out to discover scene contents.

14. 15. 16. 17. 18. 19. J. Y. Lettvin, H. R. Maturana, W. S. McCulloch, and W. H. Pitts, What the frog's eye tells the frog's brain, Proc. IRE 47:1940-1951 (1959) . D. H. Hubel and T. N. Wiesel, Receptive fields, binocular interaction and functional architecture in the cat's visual cortex, J. Physiol.. 160: 106-154 (1962). M. J. E. S. Patent 3,214,574 (1965). S. H. Unger, A computer oriented toward spatial problems, Proc. IRE 46:1744-1750 (1958). S. H. Unger, Pattern detection and recognition, Proc.

APPROXIMATION OF RANGE-FINDER IMAGE PIXELS During a recognition process it is necessary to determine what patch of the object model is best-fit to the segmented set of range-finder pixels. Straightforward solution consists in a selection of shift and rotation meanings for coordinate system connected with patches. It is unrealizable in practice because of huge quantity of calculations. Therefore it appears more expedient to search a quadric surface that is the best-fit to the set of 3-D points and then to compare this result with a set of patches in all object models.

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