
Building Resilient Vision Systems: Addressing Distortions in Real-World Images
Addressing Distortions in Real-World Images
Shah(Author)
tredition (Publisher)
Published on 12. June 2024
Book
Paperback/Softback
116 pages
978-3-384-25836-6 (ISBN)
Description
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.
More details
Language
English
Place of publication
mn
Germany
Target group
This book is ideal for computer vision engineers and researchers developing image recognition systems that function effectively in real-world environments with distorted images.
Product notice
Unsewn / adhesive bound
Dimensions
Height: 234 mm
Width: 155 mm
Thickness: 9 mm
Weight
210 gr
ISBN-13
978-3-384-25836-6 (9783384258366)
Schweitzer Classification
Person
Author
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.