摘要
对移动终端交互中动态图像的传输进行真实性识别,可以更好地提升移动终端交互质量。对动态手势图像的传输真实性识别,需要给出手势匹配模板间的放射变换矩阵,将输入手势与模板特征点进行匹配。传统方法通过提取空间的分布特征得到变换矩阵,但忽略了将输入手势图像与模板特征点匹配,导致识别精度低。提出稀疏表示的移动终端交互动态手势图像传输真实性识别方法。融合最小二乘法提取单点触控的手势特征,将多点触控手势定义为多个单点触控手势集合,融合Hausdorff距离(HD)测度定义两个手势特征边缘点集间的距离值,给出手势匹配模板间的放射变换矩阵,通过矩阵变换将输入手势与模板特征点进行匹配,完成对移动终端交互动态手势图像传输真实性识别。仿真结果表明,所提方法传输真实性识别精确度高,可以有效地完成对移动终端交互动态手势图像传输真实性识别。
An authenticity identification method for image transmission of dynamic gesture in interaction of mobile terminals is presented based on sparse representation.Firstly,the gesture feature of single touch integrated with least square method is extracted,and the gesture of multi-point touch is defined as many gesture sets of single touch.Then,the distance value betweentwo peripheral point sets of gesture feature integrated with Hausdorff distance measurement is defined,and the radiation transformation matrix among gesture match templates is given.Moreover,the input gesture is matched with template feature point through matrix transformation.Finally,the authenticity identification of dynamic image transmission in the mobile terminal interaction is completed.Simulation results show that the method has high identification precision.It can complete the authenticity identification effectively.
出处
《计算机仿真》
北大核心
2017年第3期169-172,共4页
Computer Simulation
关键词
移动终端
动态手势
传输真实性识别
Mobile terminal interaction
Dynamic gesture image
Transmission authenticity identification