Advanced methods and deep learning in computer vision

• Titel: Advanced methods and deep learning in computer vision
• Verf.angabe: edited by E.R. Davies, Matthew A. Turk
• Verlagsort: London, United Kingdom ; San Diego, CA
• Verlag: Elsevier Academic Press
• E-Jahr: 2022
• Jahr: [2022]
• Umfang: 1 online resource
• Gesamttitel/Reihe: Computer vision and pattern recognition
• ISBN: 978-0-12-822149-5
• ISBN: 0-12-822149-6
• ISBN: 978-0-12-822109-9
• ISBN: 0-12-822109-7
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Vision par ordinateur
• Sach-SW: Reconnaissance des formes (Informatique)
• Sach-SW: Apprentissage automatique
• Sach-SW: Computer vision
• Sach-SW: Machine learning
• Sach-SW: Pattern recognition systems
• K10plus-PPN: 1892764032
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4544474833
• Lokale URL Inst.: Zum Volltext

Abstract

Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.