Computer Analysis of Scenes of 3-Dimensional Curved Objects

1. Front Matter

   Pages N2-v

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2. Introduction

   • Ramakant Nevatia

   Pages 1-7

3. Representation

   • Ramakant Nevatia

   Pages 8-11

4. Data Acquisition and Boundary Organization

   • Ramakant Nevatia

   Pages 12-21

5. Body Segmentation and Primitive Descriptions

   • Ramakant Nevatia

   Pages 22-43

6. Symbolic Descriptions

   • Ramakant Nevatia

   Pages 44-53

7. Recognition

   • Ramakant Nevatia

   Pages 54-75

8. Results and Conclusions

   • Ramakant Nevatia

   Pages 76-95

9. Back Matter

   Pages 96-125

   PDF

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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