Computer Analysis of Scenes of 3-Dimensional Curved Objects

  • Authors
  • Ramakant Nevatia

Table of contents

  1. Front Matter
    Pages N2-v
  2. Ramakant Nevatia
    Pages 1-7
  3. Ramakant Nevatia
    Pages 8-11
  4. Ramakant Nevatia
    Pages 12-21
  5. Ramakant Nevatia
    Pages 22-43
  6. Ramakant Nevatia
    Pages 44-53
  7. Ramakant Nevatia
    Pages 54-75
  8. Ramakant Nevatia
    Pages 76-95
  9. Back Matter
    Pages 96-125

About this book


1.0 2 The attention then turned to the problem of "Body separation", i.e. separation of occluding bodies in a scene (See [Guzman), [Falk), and [Waltz)). Grape ([Grape)) combined the separation of bodies with recognition, by removing parts of the scene recognized as belonging to a known body. All of these techniques were designed to work with polyhedral objects only, and extensively use the properties of edges and vertices. Though some impressive results have been reported ([Waltz], [Grape)), and perhaps some useful abstractions can be made, the specific techniques used fail to generalize to a wider class of objects. Among previous work on curved objects, B.K.P. Horn ([Horn)) presented techniques for extracting three dimensional depth data from a TV image, using reflection characteristics of the surface. Krakauer ([Krakauer]) represented objects by connections of brightness contours. Ambler et al ([Ambler)) describe experiments with simple shapes, including curved objects, using relations within a two-dimensional image. However, none of these efforts really addresses the problem of "shape" representation and description. Work on outdoor scene analysis is also concerned with non-polyhedral objects ([Bajcsy], [Yakimovsky]), but again no attention has been paid to shape analysis.


Abstraction boundary element method character class cognition computer design Impress object presentation reflection techniques vertices

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