找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Optimisation Algorithms for Hand Posture Estimation; Shahrzad Saremi,Seyedali Mirjalili Book 2020 The Editor(s) (if applicable) and The Au

[复制链接]
查看: 7767|回复: 38
发表于 2025-3-21 19:01:27 | 显示全部楼层 |阅读模式
书目名称Optimisation Algorithms for Hand Posture Estimation
编辑Shahrzad Saremi,Seyedali Mirjalili
视频video
概述Proposes a new 3D hand model with simple shapes and low computational complexity.Demonstrates improved particle swarm optimization and multi-objective particle swarm optimization.Based on case studies
丛书名称Algorithms for Intelligent Systems
图书封面Titlebook: Optimisation Algorithms for Hand Posture Estimation;  Shahrzad Saremi,Seyedali Mirjalili Book 2020 The Editor(s) (if applicable) and The Au
描述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. To fill these gaps, it proposes a new 3D hand model that combines the best features of the current 3D hand models in the literature. It also discusses the development of a hand shape optimization technique. To find the global optimum for the single-objective problem formulated, it improves and applies particle swarm optimization (PSO), one of the most highly regarded optimization algorithms and one that is used successfully in both science and industry. After formulating the problem, multi-objective particle swarm optimization (MOPSO) is employed to estimate the Pareto optimal front as the solution for this bi-objective problem. The book alsodemonstrates the effectiveness of the improved PSO in hand posture recovery in cases of tracking loss. Lastly, the book examines the formulation of hand posture estimation as a bi-objective problem fo
出版日期Book 2020
关键词Hand Posture Estimation; Particle Swarm Optimization; Multi-objective Particle Swarm Optimization; Hand
版次1
doihttps://doi.org/10.1007/978-981-13-9757-8
isbn_softcover978-981-13-9759-2
isbn_ebook978-981-13-9757-8Series ISSN 2524-7565 Series E-ISSN 2524-7573
issn_series 2524-7565
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

书目名称Optimisation Algorithms for Hand Posture Estimation影响因子(影响力)




书目名称Optimisation Algorithms for Hand Posture Estimation影响因子(影响力)学科排名




书目名称Optimisation Algorithms for Hand Posture Estimation网络公开度




书目名称Optimisation Algorithms for Hand Posture Estimation网络公开度学科排名




书目名称Optimisation Algorithms for Hand Posture Estimation被引频次




书目名称Optimisation Algorithms for Hand Posture Estimation被引频次学科排名




书目名称Optimisation Algorithms for Hand Posture Estimation年度引用




书目名称Optimisation Algorithms for Hand Posture Estimation年度引用学科排名




书目名称Optimisation Algorithms for Hand Posture Estimation读者反馈




书目名称Optimisation Algorithms for Hand Posture Estimation读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:47:56 | 显示全部楼层
Evaluating PSO and MOPSO Equipped with Evolutionary Population Dynamics,istics and difficulties are employed to efficiently benchmark the performance of the proposed PSO.EPD and MOPSO.EPD algorithms. The results are collected and presented quantitatively and qualitatively.
发表于 2025-3-22 02:59:15 | 显示全部楼层
发表于 2025-3-22 07:17:06 | 显示全部楼层
Introduction to Hand Posture Estimation,Computers are an essential tool for the Information Age in the modern world. They are, essentially, a tool to aid the human mind. To be effective, information needs to get to and from the human mind. For much of the evolution of computers, this was text-based, using simple keyboards and monitors.
发表于 2025-3-22 11:20:55 | 显示全部楼层
发表于 2025-3-22 16:53:47 | 显示全部楼层
发表于 2025-3-22 19:23:45 | 显示全部楼层
发表于 2025-3-22 21:17:50 | 显示全部楼层
Shahrzad Saremi,Seyedali MirjaliliProposes a new 3D hand model with simple shapes and low computational complexity.Demonstrates improved particle swarm optimization and multi-objective particle swarm optimization.Based on case studies
发表于 2025-3-23 05:00:18 | 显示全部楼层
发表于 2025-3-23 06:21:20 | 显示全部楼层
Optimisation Algorithms for Hand Posture Estimation978-981-13-9757-8Series ISSN 2524-7565 Series E-ISSN 2524-7573
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-25 20:29
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表