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ID:23800982
大小:1.31 MB
页数:46页
时间:2018-11-10
《基于kinect的手势图像分类器设计》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、目录目录摘要..........................................................................................................................IABSTRACT................................................................................................................II第1章绪论.....
2、......................................................................................................11.1手势分类器设计研究的背景与意义..........................................................11.1.1一些手势识别方法概述..................................................................
3、...........21.1.2Kinect设备原理综述.................................................................................31.1.3分类器方法综述.........................................................................................41.1.4课题研究的背景与意义.................................
4、............................................51.2国内外研究现状........................................................................................51.2.1图像特征提取领域研究现状.....................................................................61.2.2深度学习领域研究现状...............
5、..............................................................71.2.3手势识别的现状.........................................................................................81.3本文主要研究内容及论文组织..................................................................9第2章分类器理论基础...
6、......................................................................................112.1引言.........................................................................................................112.2深度学习(DEEPLEARNING)理论基础....................................
7、...................112.2.1深度...........................................................................................................122.2.2深度学习核心思想...................................................................................122.2.3几种基本的深度学习结构..........
8、.............................................................132.2.4DeepLearning小结..................................................................................142.3RAND
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