基于视觉信息的手势识别系统设计

摘要.......................................................................................................................................I Abstract................................................................................................................................III 目录.....................................................................................................................................V Contents..............................................................................................................................VII 第一章绪论. (1)

1.1课题研究背景及意义 (1)

1.2手势交互技术的国内外研究现状 (2)

1.2.1手势交互系统现状 (2)

1.2.2手势交互相关技术 (3)

1.3论文研究内容与结构安排 (7)

第二章复杂光照下手势检测分割研究 (8)

2.1引言 (8)

2.2光照预处理方法 (8)

2.2.1Retinex算法数学模型 (9)

2.2.2改进Retinex光照预处理算法 (10)

2.2.3实验与结果分析 (11)

2.3融入肤色信息的AdaBoost手势分割算法 (13)

2.3.1AdaBoost算法理论分析 (13)

2.3.1高斯肤色模型 (16)

2.3.2肤色及Adaboost算法结合的实现 (16)

2.4手势检测器性能分析 (17)

2.5本章小结 (21)

第三章基于视觉词袋模型的手势识别算法研究 (22)

3.1引言 (22)

3.2视觉特征提取和描述 (22)

3.2.1Hessian矩阵 (22)

3.2.2尺度空间生成 (24)

3.2.3特征精确定位 (25)

3.2.4SURF特征描述算子 (26)

3.3视觉特征表达方法研究 (27)

3.3.1K-Means聚类算法 (27)

3.3.2构建手势BoW模型词典 (28)

3.3.3手势图像的BOW表示 (28)

3.4支持向量机手势分类器 (30)

3.4.1支持向量机数学模型 (30)

3.4.2SVM手势分类器设计 (33)

3.5实验与分析 (35)

3.6本章小结 (39)

第四章手势交互系统设计 (40)

4.1引言 (40)

4.2手势交互系统概述 (40)

4.2.1系统平台 (40)

4.2.2手势交互系统框架 (41)

4.3手势交互系统实现 (42)

4.3.1图像采集系统 (42)

4.3.2系统界面设计 (43)

4.3.3系统软件设计 (43)

4.4系统性能分析 (46)

4.4.1评估指标 (46)

4.4.2系统测试与结果分析 (46)

4.5本章小结 (48)

总结及展望 (49)

参考文献 (51)

攻读学位期间获得的科研成果 (56)

学位论文独创性声明 (57)

学位论文版权使用授权声明 (57)

致谢 (58)

Contents

Abstract(Chinese)...................................................................................................................I Abstract................................................................................................................................III Contents(Chinese).................................................................................................................V Contents...............................................................................................................................VII Chapter1Introduction (1)

1.1Research background and significance (1)

1.2Present situation of research on gesture interaction technology at home and

abroad (2)

1.2.1Research status of gesture interaction system (2)

1.2.2Research on the technology of gesture interaction (3)

1.3Main contens of the paper (7)

Chapter2Research on gesture detection segmentation in complex illumination (8)

2.1Introduction (8)

2.2The algorithm of light processing (8)

2.2.1The mathematical model of the algorithm of Retinex (9)

2.2.2Improved retinex algorithm for light pretreatment (10)

2.2.3Analysis of the test results (11)

2.3AdaBoost gesture segmentation algorithm for adding skin color informationg.13

2.3.1Theoretical analysis of adaBoost algorithm (13)

2.3.2Gaussian skin color model (16)

2.3.3The realization of skin color and Adaboost combination

algorithm (16)

2.3Performance analysis of gesture detector (17)

2.4Summary (21)

Chapter3Research on Gesture Recognition Algorithm Based on BOW Model (22)

3.1Introduction (22)

3.2Visual feature extraction and description of gesture images (22)

3.2.1Hessian Matrix (22)

3.2.2Scale Space generation (24)

3.2.3The precise positioning of gestures (25)

3.2.4SURF feature description algorithm (26)

3.3Study on the expression of visual features of gestures (27)

3.3.1K-Means clustering algorithm (27)

3.3.2Build the gesture of the BoW model dictionary (28)

3.3.3The BOW representation of the gesture image (28)

3.4Support Vector Machines (30)

3.4.1Support Vector Machine mathematical model (30)

3.4.2Design of gesture classifier based on SVM (33)

3.5System testing and analysis of results (35)

3.6Summary (49)

Chapter4Design of Gesture Interaction System (40)

4.1Introduction (40)

4.2Gesture interactive system overview (40)

4.2.1System Platform (40)

4.2.2The structure of the gesture interaction system (41)

4.3Implementation of gesture interaction system (42)

4.3.1Image Acquisition system (42)

4.3.2System interface design (43)

4.3.3System software design (43)

4.4Performance analysis of gesture detector (46)

4.4.1Evaluation of indicators (46)

4.4.2System testing and analysis of results (46)

Contents

4.5Summary (48)

Conclusions and Prospects (49)

References (51)

Papers published during the study for a degree (56)

The Original thesis statement (57)

Acknowledgements (58)