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Efficient Visual Recognition Using the Hausdorff Distance / by William Rucklidge
(Lecture Notes in Computer Science. ISSN:16113349 ; 1173)
Edition | 1st ed. 1996. |
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Publisher | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
Year | 1996 |
Language | English |
Size | XIV, 186 p : online resource |
Authors | *Rucklidge, William author SpringerLink (Online service) |
Subjects | LCSH:Pattern recognition systems LCSH:Artificial intelligence LCSH:Computer vision FREE:Automated Pattern Recognition FREE:Artificial Intelligence FREE:Computer Vision |
Notes | The Hausdorff distance -- Exact computation -- Rasterisation -- Efficient computation -- Implementations and examples -- Applications -- Conclusions 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 HTTP:URL=https://doi.org/10.1007/BFb0015091 |
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E-Book | Location | Media type | Volume | Call No. | Status | Reserve | Comments | ISBN | Printed | Restriction | Designated Book | Barcode No. |
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E-Book | オンライン | 電子ブック |
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Springer eBooks | 9783540495871 |
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EB00225895 |