Probabilistic Nodes Combination (PNC) for Object Modeling and Contour Reconstruction
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Probabilistic Nodes Combination (PNC) for Object Modeling and Contour Reconstruction

Dariusz Jacek Jakóbczak
Indexed In: SCOPUS View 2 More Indices
Release Date: March, 2017|Copyright: © 2017 |Pages: 312
DOI: 10.4018/978-1-5225-2531-8
ISBN13: 9781522525318|ISBN10: 1522525319|EISBN13: 9781522525325
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Description & Coverage
Description:

Shape representation and reconstruction is a vital aspect of modern computer science applications. New modeling methods and techniques can significantly optimize these processes.

Probabilistic Nodes Combination (PNC) for Object Modeling and Contour Reconstruction is an innovative reference source that examines the latest trends in 2D curve interpolation and modeling methodologies. Focusing on a range of pertinent topics such as 3D surface modeling, high-dimensional data, and numerical methods, this is an ideal publication for programmers, researchers, students, and practitioners interested in emerging methods in object modeling and contour reconstruction.

Coverage:

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

  • 3D Surface Modeling
  • 4D Object Modeling
  • Artificial Intelligence
  • High-Dimensional Data
  • Image Processing
  • Multi-Dimensional Data Modeling
  • Numerical Methods
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Editor/Author Biographies
Dariusz Jacek Jakóbczak was born in Koszalin, Poland, on December 30, 1965. He graduated in mathematics (numerical methods and programming) from the University of Gdansk, Poland in 1990. He received the Ph.D. degree in 2007 in computer science from the Polish-Japanese Institute of Information Technology, Warsaw, Poland. From 1991 to 1994 he was a civilian programmer in the High Military School in Koszalin. He was a teacher of mathematics and computer science in the Private Economic School in Koszalin from 1995 to 1999. Since March 1998 he has worked in the Department of Electronics and Computer Science, Koszalin University of Technology, Poland and since October 2007 he has been an Assistant Professor in the Chair of Computer Science and Management in this department. His research interests connect mathematics with computer science and include computer vision, artificial intelligence, shape representation, curve interpolation, contour reconstruction and geometric modeling, numerical methods, probabilistic methods, game theory, operational research and discrete mathematics.
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