Date: 22 Oct 1999

Shape Models and Object Recognition

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Abstract

This paper discusses some problems that should be addressed by future object recognition systems.

In particular, there are things that we know how to do today, for example:

  1. Computing the pose of a free-form three-dimensional object from its outline (e.g. [106]).

  2. Identifying a polyhedral object from point and line features found in an image (e.g., [46, 89]).

  3. Recognizing a solid of revolution from its outline (e.g., [59]).

  4. Identifying a face with a fixed pose in a photograph (e.g., [10, 111]).

This work was partially supported by the National Science Foundation under grant IRI-9634312 and by the Beckman Institute at the University of Illinois at Urbana- Champaign. M. Cepeda is now with Qualcomm, Inc. and S. Sullivan is now with Industrial Light and Magic.