Semantic Networks for Understanding Scenes

Author:   Gerhard Sagerer ,  Heinrich Niemann
Publisher:   Springer Science+Business Media
Edition:   1997 ed.
ISBN:  

9780306457043


Pages:   500
Publication Date:   30 September 1997
Format:   Hardback
Availability:   In Print   Availability explained
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Semantic Networks for Understanding Scenes


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Overview

Figure 1.1. An outdoor scene ""A bus is passing three cars which are parking between trees at the side of the road. Houses having two storeys are lined up at the street. 3 4 Introduction Figure 1.2. An assembly scene There seems to be a small open place between the group of houses in the foreground and the store in the background"". In such or a similar way the content of the natural scene shown above can be described. It is quite easy to give such a short description. The problem is somewhat more complex for the second image. First of all, it can be stated that the image does not show an everyday scene. It appears as a kind of man made surrounding. But everyone can accept the following statements about this image: 1. The image shows a snapshot of an assembly line. 2. The robot in front is screwing. 3. There is no person in the working area of the robots. 4. All objects on the conveyor belt are worked on by robots. There are no free objects on the belt.

Full Product Details

Author:   Gerhard Sagerer ,  Heinrich Niemann
Publisher:   Springer Science+Business Media
Imprint:   Kluwer Academic/Plenum Publishers
Edition:   1997 ed.
Dimensions:   Width: 15.50cm , Height: 3.30cm , Length: 23.50cm
Weight:   2.040kg
ISBN:  

9780306457043


ISBN 10:   0306457040
Pages:   500
Publication Date:   30 September 1997
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Introduction.- 2 Segmentation.- 3 Knowledge Representation.- 4 A Knowledge Representation Language.- 5 Judgment.- 6 Control.- 7 Acquisition of Knowledge.- 8 Explanation and user Interface.- 9 Applications.- References.

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