Advances in Theory and Applications of Stereo Vision

Asim Bhatti

ISBN 10: 9533075163 / ISBN 13: 9789533075167

Edité par Intechopen, 2011

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - The book presents a wide range of innovative research ideas and current trends in stereo vision. The topics covered in this book encapsulate research trends from fundamental theoretical aspects of robust stereo correspondence estimation to the establishment of novel and robust algorithms as well as applications in a wide range of disciplines. Particularly interesting theoretical trends presented in this book involve the exploitation of the evolutionary approach, wavelets and multiwavelet theories, Markov random fields and fuzzy sets in addressing the correspondence estimation problem. Novel algorithms utilizing inspiration from biological systems (such as the silicon retina imager and fish eye) and nature (through the exploitation of the refractive index of liquids) make this book an interesting compilation of current research ideas.

N° de réf. du vendeur 9789533075167

Détails bibliographiques

• Titre: Advances in Theory and Applications of Stereo Vision
• Éditeur: Intechopen
• Date de parution: 2011
• Langue: anglais
• ISBN à 10 chiffres: 9533075163
• ISBN à 13 chiffres: 9789533075167
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 266 L x 185 H x 30 P (en millimètres) 266 millimètres de largeur par 185 millimètres de hauteur par 30 millimètres de profondeur
• Poids: 1002 grammes

A propos de ce titre

Synopsis

The book presents a wide range of innovative research ideas and current trends in stereo vision. The topics covered in this book encapsulate research trends from fundamental theoretical aspects of robust stereo correspondence estimation to the establishment of novel and robust algorithms as well as applications in a wide range of disciplines. Particularly interesting theoretical trends presented in this book involve the exploitation of the evolutionary approach, wavelets and multiwavelet theories, Markov random fields and fuzzy sets in addressing the correspondence estimation problem. Novel algorithms utilizing inspiration from biological systems (such as the silicon retina imager and fish eye) and nature (through the exploitation of the refractive index of liquids) make this book an interesting compilation of current research ideas.