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Image Understanding Using Two-Dimensional Models

  • Yoshiaki Shirai
Part of the Symbolic Computation book series (SYMBOLIC)

Abstract

While the previous chapter concentrated on how low-level image processing is guided by models of scenes, this chapter describes how two-dimensional models are used for recognizing objects from image features. We start with a simple case where objects are isolated and image features are almost completely extracted. Then we consider cases where objects occlude one another and image features are not completely extracted. In the course of recognizing objects, features are modified or new features are extracted.

Keywords

Edge Point Partial Matchings Scene Model Edge Extraction Edge Finding 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • Yoshiaki Shirai
    • 1
  1. 1.Computer Vision Section, Computer Science DivisionElectrotechnical LaboratoryNiiharigun Ibaraki, 305Japan

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