基于计算机视觉的手势识别 |
| 时间：2025-03-30 11:11:14 来源：互联网 作者： |
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.b_caption+div{padding-top:6px}.b_rc_gb_sub_cell.b_rc_gb_sub_text,.b_rc_gb_sub_cell .b_promoteText{color:#666}.b_rc_gb_sub_section .b_rc_gb_sub_cell:hover{box-shadow:0 0 0 1px rgba(0,0,0,.05),0 2px 3px 0 rgba(0,0,0,.1)}.b_rc_gb_sub_section .b_rc_gb_sub_cell:hover .b_rc_gb_sub_title{text-decoration:underline}#b_results .b_rc_gb_template .b_rc_gb_sub .b_rc_gb_sub_cell .b_rc_gb_sub_title a{pointer-events:unset}#b_results .b_rc_gb_template.b_algo_feedback .b_gobig_feedback,#b_results .b_algoBigWiki.b_algo_feedback .b_gobig_feedback{display:none}.b_rc_gb_bottom_cover{transition:.3s}.b_rc_gb_bottom_cover .b_rc_gb_cover{height:inherit}.b_rc_gb_template:hover .b_rc_gb_bottom_cover{height:10px}.b_wiki_bottom_cover{transition:.3s}.b_wiki_bottom_cover .b_wiki_cover{height:inherit}.b_algoBigWiki:hover .b_wiki_bottom_cover{height:0}.b_rc_gb_scroll{height:540px;overflow-y:hidden;-ms-overflow-style:none;scrollbar-width:none;overflow-y:scroll;position:relative;scroll-behavior:smooth}.b_rc_gb_scroll::-webkit-scrollbar{display:none}#b_results .b_rc_gb_window{ max-height: 450px; } #b_rc_gb_origin.b_rc_gb_sub .b_rc_gb_sub_column { max-width: 298px; }.b_rc_gb_sub.b_rc_gb_scroll { height: 362px; }.b_module_expansion_control .b_vList li{padding-bottom:10px}.pvc_title_with_frows{padding-bottom:10px}.paratitle .actionmenu{float:right;margin-top:-26px}.paratitle .actionmenu::after{float:none}.b_paractl,#b_results .b_paractl{line-height:1.5em;padding-bottom:10px}.mc_fh{height:100%;border-radius:6px}.mc_tc_bs{overflow:hidden}.b_rc_gb_bottom_cover{overflow:hidden;position:absolute;bottom:0;left:0;width:100%;height:46px;z-index:1}.b_rc_gb_cover{position:absolute;width:100%;height:46px;bottom:0;left:0;background:linear-gradient(0deg,#fff,rgba(255,255,255,0));background-repeat:no-repeat}.b_rc_gb_window{position:relative}基于OpenCV的手势1~5识别系统（源码＆环境部署）项目参考AAAI Association for the Advancement of Artificial Intelligence研究背景与意义：随着计算机视觉技术的快速发展，手势识别系统在人机交互、虚拟现实、智能监控等领域得到了广泛应用。手势识别系统可以通过分析人体的手势动作，实现 展开3.视频演示基于OpenCV的手势1~5识别系统（源码＆环境部署）_哔哩哔哩_bilibili 展开4.手势手势的概述手势是指人类用语言中枢建立起来的一套用手掌和手指位置、形状的特定语言系 手势的输入方式(1)数据手套数据手套就是一种传感器系 展开6.系统整体结构整体功能和构架概述：这个工程是一个基于OpenCV的手势识别系统，主要包括三个程序文件：gesture.pgesture.py文件负责实时捕捉手势图像，并根据手势的形状判断手势的数字。test.py文件连接到MySQL 展开5.核心代码讲解5.1 gesture.py封装为类的代码如下：你可以通过创建一个HandGestureRecognition的实例并调用ru这个程序文件名为gesture.py，主要功能是通过摄像头捕捉手势图像， 展开更多内容请查看https://blog.csdn.net/xuehaishijue/article/details/134733407
.b_imgcap_altitle p strong,.b_imgcap_altitle .b_factrow strong{color:#767676}#b_results .b_imgcap_altitle{line-height:22px}.b_hList img{display:block}.b_imagePair .inner img{display:block;border-radius:6px}.b_algo .vtv2 img{border-radius:0}.b_hList .cico{margin-bottom:10px}.b_title .b_imagePair>.inner,.b_vList>li>.b_imagePair>.inner,.b_hList .b_imagePair>.inner,.b_vPanel>div>.b_imagePair>.inner,.b_gridList .b_imagePair>.inner,.b_caption .b_imagePair>.inner,.b_imagePair>.inner>.b_footnote,.b_poleContent .b_imagePair>.inner{padding-bottom:0}.b_imagePair>.inner{padding-bottom:10px;float:left}.b_imagePair.reverse>.inner{float:right}.b_imagePair .b_imagePair:last-child:after{clear:none}.b_algo .b_title .b_imagePair{display:block}.b_imagePair.b_cTxtWithImg>*{vertical-align:middle;display:inline-block}.b_imagePair.b_cTxtWithImg>.inner{float:none;padding-right:10px}.b_imagePair.square_mp>.inner{width:80px}.b_imagePair.square_mp{padding-left:90px}.b_imagePair.square_mp>.inner{margin:2px 0 0 -90px}.b_imagePair.square_mp.reverse{padding-left:0;padding-right:90px}.b_imagePair.square_mp.reverse>.inner{margin:2px -90px 0 0}.b_imagePair.square_s>.inner{width:50px}.b_imagePair.square_s{padding-left:60px}.b_imagePair.square_s>.inner{margin:2px 0 0 -60px}.b_imagePair.square_s.reverse{padding-left:0;padding-right:60px}.b_imagePair.square_s.reverse>.inner{margin:2px -60px 0 0}.b_ci_image_overlay:hover{cursor:pointer}.b_greyBackgroundModal{display:none;position:fixed;left:0;top:0;width:0;height:0}.insightsOverlay,#OverlayIFrame.b_mcOverlay.insightsOverlay{position:fixed;top:5%;left:5%;bottom:5%;right:5%;width:90%;height:90%;border:none;border-radius:15px;margin:0;padding:0;overflow:hidden;z-index:9;display:none}#OverlayMask,#OverlayMask.b_mcOverlay{z-index:8;background-color:#000;opacity:.6;position:fixed;top:0;left:0;width:100%;height:100%}基于视觉的手势识别算法综述 本文为该系列第一篇，主要介绍手势识别算法的发展流程，列举一些常见的手势识别算法（包括基于机器学习和基于深度学习两种）。 在后续文章中，将会对其中的几种方法进行详细描述。 随着计算机在社会中的普及，促 更多内容请查看https://zhuanlan.zhihu.com/p/658534079
基于深度学习的常见手势识别系统（网页 2024年4月5日 · 摘要：本文深入研究了 基于YOLOv8/v7/v6/v5的常见手势识别，核心采用 YOLOv8 并整合了 YOLOv7、YOLOv6、YOLOv5 算法，进行性能指标对比；详述了国内外研究现状、数据集处理、算法原理、模型构建与训练代 更多内容请查看https://www.cnblogs.com/deeppython/p/18091229
【计算机视觉】手势识别_手势识别模型-2025年3月3日 · 手势识别是计算机视觉领域中的重要方向，通过对摄像机采集的手部相关的图像序列进行分析处理，进而识别其中的手势，手势被识别后用户就可以通过手势来控制设备或者与 更多内容请查看https://blog.csdn.net/zkw54334/article/details/145994177
万方数据知识服务平台https://d.wanfangdata.com.cn/thesis基于计算机视觉的手势识别-学位-万方数据知识服务平台本文主要分为绪论、各部分算法综述、预处理、手势特征提取与手势跟踪、手势识别系统实验、总结与展望六部分。 借助计算机视觉库OpenCV，用摄像头获取手势序列，对图像进行预处理， 更多内容请查看https://d.wanfangdata.com.cn/thesis/ChhUaGVzaXNOZXdTMjAyNDA5MjAxNTE3MjUSCFkyNTc4MDUyGgh1bzl1bnZvcQ%3D%3D
计算机视觉项目：手势识别+人脸识别+姿态估计+毕 2024年12月23日 · 手势识别 和手势关键点检测是 计算机视觉 领域中的一个重要研究方向，涉及到从图像或视频中检测人手的位置和姿态信息，并推断出手势的意义。更多内容请查看https://blog.csdn.net/qq1309399183/article/details/144678070
维普期刊官网摘要 对以计算机视觉为基础的手势检测识别技术展开综述,回顾手势检测识别技术的发展过程,介绍该技术的研究难点和研究动态,在此基础上着重归纳以计算机视觉为基础的手势检测识别技术的 更多内容请查看https://qikan.cqvip.com/Qikan/Article/Detail?id=44539560
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