A prototype system for interactive object modeling has been developed and tested. The goal of this effort has been to create a system which would demonstrate the feasibility of highly interactive operator-coached machine vision in a realistic task environment and to provide a testbed for experimentation with various modes of operator interaction. The purpose for such a system is to use human perception where machine vision is difficult i. e. to segment the scene into objects and to designate their features and to use machine vision to overcome limitations of human perception i. e. for accurate measurement of object geometry. The system captures and displays video images from a number of cameras allows the operator to designate a polyhedral object one edge at a time by moving a 3-D cursor within these images performs a least-squares fit of the designated edges to edge data detected with a modified Sobel operator and combines the edges thus detected to form a wire-frame object model that matches the Sobel data.
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