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Optimisation Algorithms for Hand Posture Estimation

BuchGebunden
Verkaufsrang7565in
CHF158.00

Beschreibung

This book reviews the literature on hand posture estimation using generative methods, identifying the current gaps, such as sensitivity to hand shapes, sensitivity to a good initial posture, difficult hand posture recovery in cases of loss in tracking, and lack of addressing multiple objectives to maximize accuracy and minimize computational cost.
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Details

ISBN/GTIN978-981-13-9756-1
ProduktartBuch
EinbandGebunden
VerlagSpringer
Erscheinungsdatum04.09.2019
Auflage1st ed. 2020
ReiheAlgorithms for Intelligent Systems
Seiten205 Seiten
SpracheEnglisch
MasseBreite 155 mm, Höhe 235 mm
Gewicht585 g
IllustrationenXV, 205 p. 108 illus., 99 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Artikel-Nr.6892122
KatalogBuchzentrum
Datenquelle-Nr.31782255
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Autor

Dr. Shahrzad Saremi is a lecturer at Griffith College, Griffith University, Australia. She received her BA in Information Technology from the Malaysian Multi Media University and M.Sc in Interaction Design from the University of Queensland. Dr. Saremi has published more than 20 articles in high-impact journals. Her main research interests include machine learning, optimization, human-computer interaction, augmented reality and gesture detection.Dr. Seyedali Mirjalili is a lecturer at Griffith College, Griffith University and internationally recognized for his advances in nature-inspired Artificial Intelligence (AI) techniques. He is the author of five books, 100 journal articles, 20 conference papers, and 20 book chapters. With over 10000 citations and H-index of 40, he is one of the most influential AI researchers in the world.  From Google Scholar metrics, he is globally the 3rd most cited researcher in Engineering Optimisation and Robust Optimisation using AI techniques. He has been the keynote speaker of several international conferences and is serving as an associate editor of top AI journals including Applied Soft Computing, Applied Intelligence, IEEE Access, Advances in Engineering Software, and Applied Intelligence.

Schlagworte