Discrete Geometry for Computer Imagery - 19th IAPR International Conference, DGCI 2016, Nantes, France, April 18-20, 2016. Proceedings

Thisbook constitutes the refereed proceedings of the 19th IAPR InternationalConference on Discrete Geometry for Computer Imagery, DGCI 2016, held in Nantes,France, in April 2016. 
The 32 revised full papers presented together with 2invited talks were carefully selected from 51 submissions. The papers areorganized in topical sections on combinatorial tools; discretization; discretetomography; discrete and combinatorial topology; shape descriptors; models fordiscrete geometry; circle drawing; morphological analysis; geometrictransforms; and discrete shape representation, recognition and analysis.

Inhaltsverzeichnis

Combinatorial tools.- Discretization.- Discrete tomography.- Discrete and combinatorial topology.-Shape descriptors.- Models for discrete geometry.- Circle drawing.- Morphological analysis.- Geometric transforms.- Discrete shape representation, recognition and analysis.

Produktdetails

• Mitarbeit: Florent Autrusseau (Herausgeber), Jeanpierre Guédon (Herausgeber), Jean-Pierre Guédon (Herausgeber), Nicolas Normand (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 10.04.2016
• EAN: 9783319323596
• ISBN: 978-3-31-932359-6
• Seiten: 453
• Abmessung: 157 mm x 27 mm x 236 mm
• Gewicht: 690 g
• Illustration: IX, 453 p. 208 illus.
• Serien: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Anwendungs-Software; C, Künstliche Intelligenz, Algorithmen und Datenstrukturen, Algorithms, Artificial Intelligence, Mustererkennung, Diskrete Mathematik, Maschinelles Sehen, Bildverstehen, Mathematik für Informatiker, computer science, Computer Vision, Image Processing and Computer Vision, Computer Graphics, pattern recognition, Discrete Mathematics in Computer Science, Discrete Mathematics, Algorithms & data structures, Automated Pattern Recognition, Computer science—Mathematics, Maths for computer scientists, Optical data processing, Algorithm Analysis and Problem Complexity, Image processing, recursive structure, shape complexity, Shape Modeling