Building Resilient Vision Systems: Addressing Distortions in Real-World Images

Erscheinungsjahr 2024
ISBN: 978-3-384-25836-6
Verlag: tredition

Buch, Englisch, 116 Seiten, Format (B × H): 155 mm x 234 mm, Gewicht: 210 g

Consequently, temporal prediction has been established as a way to achieve a deeper understanding of the data as it requires an implicit understanding of the structure of the observed visual features and the rules they follow while they change over time. Given this, recent approaches in the ?eld usually extract the temporal properties of the data by learning a strong temporal regularization [85, 147], which helps to ?nd clusters over time but may result in a lower ability to identify segments based on their visual representation.

Zielgruppe

This book is ideal for computer vision engineers and researchers developing image recognition systems that function effectively in real-world environments with distorted images.

Autoren/Hrsg.

Shah

Über Autor(innen)

Shah
Dr. Shah, a distinguished neurologist and healthcare economist, spearheads the "Neuro Care Revolution" initiative, merging clinical expertise with financial acumen to optimize patient outcomes and reduce healthcare costs. With extensive experience in neurology and healthcare management, Dr. Shah is committed to reshaping the landscape of neurological care.