| 基于三维模型的双目手势特征提取 |
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| 引用本文： | 马栋林,高玮军. 基于三维模型的双目手势特征提取[J]. 兰州理工大学学报, 2011, 37(5): 104-107 |
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| 作者姓名： | 马栋林 高玮军 |
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| 作者单位： | 1. 兰州理工大学信息中心,甘肃兰州,730050
2. 兰州理工大学计算机与通信学院,甘肃兰州,730050 |
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| 基金项目： | 甘肃省自然科学基金(3ZS051-A25-043) |
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| 摘 要： | 提出一种基于三维模型的双目手势特征提取算法.该算法使用双摄像头,在手势的三维几何模型基本框架下,将得到的几何体的旋转角度作为提取出的手势特征.使用图像的极半径不变矩对比图像之间的相似度,并用遗传算法逐代改变三维模型中几何体的旋转角度,使其最大程度地接近真实手势,克服三维重建中速度与精度之间的平衡问题.实验证明,在简单手...
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| 关 键 词： | 双目手势特征 遗传算法 手势识别 |
Three-dimensional 3d model-based feature extraction of binocular gestures |
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| MA Dong-lin,GAO Wei-jun. Three-dimensional 3d model-based feature extraction of binocular gestures[J]. Journal of Lanzhou University of Technology, 2011, 37(5): 104-107 |
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| Authors: | MA Dong-lin GAO Wei-jun |
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| Affiliation: | MA Dong-lin1,GAO Wei-jun2(1.Center of Information,Lanzhou Univ.of Tech.,Lanzhou 730050,China,2.College of Computer and Communication,China) |
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| Abstract: | A algorithm of the binocular hand gesture feature extraction was presented on a three-dimensional model.In double camera conditions as well as in the frame of three-dimensional geometrical model of hand gesture,the rotation angles of the geometrical body were used as the extracted feature of the hand gesture.The invariant moment of the polar radius of the images was used to compare the similarity among the images and a genetic algorithm was used to change the rotation angle of the geometric body from genera... |
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| Keywords: | binocular hand gesture feature genetic algorithm hand gesture recognition |
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