Relaxation techniques are iterative methods of solving systems of equations by successive approximations that lead ultimately to a minimization of the difference between the solution and "reality." One important application of this method lies in image processing, when, given incomplete, ambiguous information, a computer attempts to determine the nature of an object and its orientation in three dimensions. An invaluable resource for computer scientists and electrical engineers, this book provides a firm foundation in these techniques and discusses its applications in computer vision and artificial intelligence.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
1 halftone, 59 line drawings
ISBN-13
978-0-19-504894-0 (9780195048940)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Introduction to relaxation techniques; Classical relaxation; The labeling problem; The formulation of discrete relaxation; Networks of constraints; Applications of discrete relaxation; Hierarchical constraint processes; Parallel discrete relaxation algorithms; VLSI architectures for discrete relaxation.
