Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology

Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology

Constantin Papaodysseus
Release Date: October, 2011|Copyright: © 2012 |Pages: 330
DOI: 10.4018/978-1-60960-786-9
ISBN13: 9781609607869|ISBN10: 1609607864|EISBN13: 9781609607876
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Description & Coverage
Description:

Computer science—especially pattern recognition, signal processing and mathematical algorithms—can offer important information about archaeological finds, information that is otherwise undetectable by the human senses and traditional archaeological approaches.

Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art research in computational pattern recognition and digital archaeometry. Computer science researchers in pattern recognition and machine intelligence will find innovative research methodologies combined to create novel and efficient computational systems, offering robust, exact, and reliable performance and results. Archaeologists, conservators, and historians will discover reliable automated methods for quickly reconstructing archaeological materials and benefit from the application of non-destructive, automated processing of archaeological finds.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Automated Processing Of Archaeological Artefacts
  • Automated Reconstruction of Artefacts
  • Automatic Writer Identification
  • Computational Pattern Recognition
  • Digital archaeometry
  • Digital Modeling of 2D and 3D Objects
  • Digital Preservation and Conservation
  • Digital Stylistic Analysis and Attribution
  • Mathematical Algorithms
  • Signal Processing
Reviews & Statements

This book, hopefully, could prove of great assistance to experts of Humanitarian Sciences and help them solve problems that already exist or may come up in the years to come. It may also show how computer scientists and mathematicians can use their research work in favor of other Sciences with great interest such as Medical Science, Physics, etc. Conclusively, Research is always evolving and, hopefully, this book can contribute to this direction by implementing the produced methodologies or by giving ideas based on the work presented in the chapters of this book.

– Constantin Papaodysseus, National Technical University of Athens, Greece
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Editor/Author Biographies
Constantin Papaodysseus received the Diploma degree in electrical and computer engineering from the National Technical University of Athens (NTUA) and the MSc degree from Manchester University, United Kingdom. He received the PhD degree in computer engineering from NTUA. From 1996-2000, he was an assistant professor at NTUA in the Department of Electrical and Computer Engineering. Since 2001, he has been an associate professor in the same department at NTUA. His research interests include image processing, pattern recognition, biomedical engineering, music and sound processing and automatic recognition, applications of computer science to archaeology, applied mathematics, algorithm robustness and quantization error analysis, adaptive algorithms, etc. He has more than 50 publications in international journals on these subjects.
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