| Description |
1 online resource (xiii, 178 pages) : illustrations |
| Series |
Lecture notes in computer science ; 1173 |
|
Lecture notes in computer science ; 1173.
|
| Contents |
The Hausdorff distance -- Exact computation -- Rasterisation -- Efficient computation -- Implementations and examples -- Applications -- Conclusions |
| Summary |
This book presents the theoretical aspects and practical development of a computer vision system for searching an image for a specified model object; this system is reliable, tolerates imperfections in the image and model, and is fast enough for real-world applications. A number of search techniques are evaluated. The capabilities of the author's image search system are demonstrated on a variety of examples, and applications using it to track moving objects and navigate mobile robots are shown. This book is essential reading for anybody interested in model-based object recognition |
| Bibliography |
Includes bibliographical references (pages 171-176) and index |
| Subject |
Computer vision.
|
|
Optical pattern recognition.
|
|
Hausdorff measures.
|
|
Computer vision
|
|
Hausdorff measures
|
|
Optical pattern recognition
|
| Form |
Electronic book
|
| LC no. |
96048288 |
| ISBN |
9783540495871 |
|
3540495878 |
|
3540619933 |
|
9783540619932 |
|
