Method for identifying three-dimensional objects using two-dimen

Image analysis – Histogram processing – For setting a threshold

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364725, 382 23, G06K 972

Patent

active

047318600

ABSTRACT:
For recognizing a three-dimensional object from its two-dimensional image which was produced e.g. by a TV camera, a Hough transform representation is generated of the image and specific configurations or structures of the cluster points which constitute the Hough transform representation are determined. The information about these specific configurations is compared to similar information stored for the Hough representation of known object models. By thus relating portions of the image to portions of one or several object models, vertices of the image which are present at line or edge intersections, are related to vertices of the known object model(s). This knowledge about the correspondence of model and object vertex points allows the exact fitting of vertices and thus recognition of the unknown object and its relative orientation. The models may be either primitive objects and the procedure determines of which primitives the unknown object is composed, or the models may be wire frame models each of which completely describes one more complicated object and the procedure determines to which of the models the entire unknown object fits best.

REFERENCES:
patent: 3069654 (1962-12-01), Hough
patent: 4618989 (1986-10-01), Tsukune et al.
Perkins et al., "A Corner Finder for Visual Feedback", Computer Graphics and Image Processing, 1973, pp. 355-376.

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