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The human face is perhaps the most familiar and easily recognized object in the world, yet both its three-dimensional shape and its two-dimensional images are complex and hard to characterize. This book ties together applied mathematics, applied statistics, and engineering by applying general theories and concepts to the specific and familiar example of the human face.
The authors include fully worked out examples of two approaches to face recognition, demonstrating the power of pattern theory and suggesting interesting new mathematics in the two-and three-dimensional aspects of the face.
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Previews available in: English
Subjects
Differential Geometry, Mathematical models, Human face recognition (Computer science), Computer vision, Face, Geometry, differential, Biometric Identification, Reconnaissance faciale (Informatique), Modèles mathématiques, Vision par ordinateur, Géométrie différentielle, Differentialgeometrie, Gesicht, Mathematisches Modell, Mustererkennung, Patroonherkenning, GelaatEdition | Availability |
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1
Two- and Three-Dimensional Patterns of the Face
April 21, 1999, AK Peters, Ltd.
Hardcover
in English
1568810873 9781568810874
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2
Two- and Three-Dimensional Patterns of the Face
1999, CRC Press LLC
in English
1439863938 9781439863930
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3
Two- and Three-Dimensional Patterns of the Face
1999, CRC Press LLC
in English
0429065086 9780429065088
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Book Details
First Sentence
"The term "pattern theory" was introduced by Ulf Grenander in the 1970s (Grenander 76-81) as a name for a field of applied mathematics which gave a theoretical setting for a large number of related ideas, techniques and results from fields such as computer vision (D. Geman 90), speech recognition (Rabiner 90, 93), statistical pattern recognition (Ripley 96), neural nets (Hertz 91) and parts of artificial intelligence (Pearl 88)."
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- Created April 30, 2008
- 12 revisions
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July 16, 2024 | Edited by MARC Bot | import existing book |
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April 30, 2008 | Created by an anonymous user | Imported from amazon.com record |