02210nam 2200469 450 991082059230332120230803204047.01-60805-900-6(CKB)3710000000214302(EBL)1757595(MiAaPQ)EBC1757595(EXLCZ)99371000000021430220171117h20142014 uy 0engur|n|---|||||rdacontentrdamediardacarrierApplication of chaos and fractals to computer vision /by Michael E. FarmerSharjah, United Arab Emirates :Bentham Science Publishers,2014.©20141 online resource (333 p.)Description based upon print version of record.1-60805-901-4 Includes bibliographical references and index.Cover; Title; EUL; Dedication; Contents ; Biography; Foreword; Preface; Chapter 01; Chapter 02; Chapter 03; Chapter 04; Chapter 05; Chapter 06; Chapter 07; Chapter 08; Chapter 09; Chapter 10; References; Author Index; IndexThis book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather systems to neural pathway signal propagation. Computer vision researchers have derived motivation for their algorithms from biology and physics for many years as witnessed by the optical flow algorithm, the oscillator model underlying graphical cuts and of course neural networks. These algorithmComputer visionChaotic behavior in systemsFractal analysisComputer vision.Chaotic behavior in systems.Fractal analysis.006.37Farmer Michael E. 1705704MiAaPQMiAaPQMiAaPQBOOK9910820592303321Application of chaos and fractals to computer vision4092637UNINA