找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 7861|回復(fù): 38
樓主
發(fā)表于 2025-3-21 19:01:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Optimisation Algorithms for Hand Posture Estimation
編輯Shahrzad Saremi,Seyedali Mirjalili
視頻videohttp://file.papertrans.cn/704/703111/703111.mp4
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
叢書名稱Algorithms for Intelligent Systems
圖書封面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
關(guān)鍵詞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

書目名稱Optimisation Algorithms for Hand Posture Estimation影響因子(影響力)




書目名稱Optimisation Algorithms for Hand Posture Estimation影響因子(影響力)學(xué)科排名




書目名稱Optimisation Algorithms for Hand Posture Estimation網(wǎng)絡(luò)公開度




書目名稱Optimisation Algorithms for Hand Posture Estimation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Optimisation Algorithms for Hand Posture Estimation被引頻次




書目名稱Optimisation Algorithms for Hand Posture Estimation被引頻次學(xué)科排名




書目名稱Optimisation Algorithms for Hand Posture Estimation年度引用




書目名稱Optimisation Algorithms for Hand Posture Estimation年度引用學(xué)科排名




書目名稱Optimisation Algorithms for Hand Posture Estimation讀者反饋




書目名稱Optimisation Algorithms for Hand Posture Estimation讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

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

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:47:56 | 只看該作者
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.
板凳
發(fā)表于 2025-3-22 02:59:15 | 只看該作者
地板
發(fā)表于 2025-3-22 07:17:06 | 只看該作者
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.
5#
發(fā)表于 2025-3-22 11:20:55 | 只看該作者
6#
發(fā)表于 2025-3-22 16:53:47 | 只看該作者
7#
發(fā)表于 2025-3-22 19:23:45 | 只看該作者
8#
發(fā)表于 2025-3-22 21:17:50 | 只看該作者
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
9#
發(fā)表于 2025-3-23 05:00:18 | 只看該作者
10#
發(fā)表于 2025-3-23 06:21:20 | 只看該作者
Optimisation Algorithms for Hand Posture Estimation978-981-13-9757-8Series ISSN 2524-7565 Series E-ISSN 2524-7573
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-17 17:45
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
林州市| 自治县| 石景山区| 安福县| 无极县| 湛江市| 碌曲县| 台前县| 平武县| 饶河县| 九寨沟县| 德清县| 田林县| 崇礼县| 从江县| 香港 | 舟山市| 湘乡市| 汶上县| 乳山市| 涪陵区| 天祝| 封丘县| 常州市| 连云港市| 遵化市| 新竹县| 镇远县| 金塔县| 历史| 刚察县| 阿坝| 琼结县| 贡嘎县| 邻水| 沾益县| 云浮市| 峨眉山市| 江阴市| 炉霍县| 长寿区|