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Constructing object models from multiple images

J. Ross Stenstrom and C. Ian Connolly1

(1) the Computer Science Department, University of Massachusetts, 01003 Amherst, MA

Received: 25 August 1989  Revised: 14 July 1992  

Abstract  Methods for constructing face-edge-vertex models of objects directly from image data are presented. These methods, applicable to both range and intensity data, produce refined models using multiple images. Each model bounds the actual positions of surfaces on the object. The techniques rely on topologically significant image features to generate bounding volumes for the object surfaces. Potentially occupied volumes obtained from the multiple image viewpoints are intersected to form a cumulative description of potential surface positions. In conjunction with certain coherence and visibility assumptions, a model can be produced with little or no ambiguity. Typically, several well-chosen views will produce a good approximation to the object under consideration. Illustrative examples of building models from multiple range and intensity images are provided.
General Electric Corporate Research and Development Center
The first author passed away during the preparation of this manuscript.

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Referenced by
3 newer articles

  1. Hoover, A. (1998) Dynamic-scale model construction from range imagery. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(12)
    [CrossRef]
  2. Hoover, A. (1995) Extracting a valid boundary representation from a segmented range image. IEEE Transactions on Pattern Analysis and Machine Intelligence 17(9)
    [CrossRef]
  3. Benjamin, R. (1996) Object-based three-dimensional X-ray imaging. Medical & Biological Engineering & Computing 34(6)
    [CrossRef]
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