基于双目立体视觉与结构光的便携式非接触三维掌纹采集系统  

Non-Contact Portable Three-Dimensional Palmprint Acquisition System Based on Binocular Stereo Vision and Structured Light

作　　者：陈亦麟 王发宇 刘建阳 Chen Yilin;Wang Fayu;Liu Jianyang(School of Mechanical Engineering,Southwest Jiaotong University,Chengdu,Sichuan 610031,China)

机构地区：[1]西南交通大学机械工程学院,四川成都610031

出　　处：《激光与光电子学进展》2022年第4期200-208,共9页Laser & Optoelectronics Progress

基　　金：四川省科技厅项目(2017HH0102)。

摘　　要：随着三维测量技术的成熟,非接触式三维(3D)掌纹采集系统为掌纹识别的研究提供了新的途径。为了提高3D掌纹信息的采集精度,提出一种融合双目立体视觉与结构光的便携式非接触3D掌纹采集系统。首先将编码图案投影到目标手掌表面,使用双目相机获取左右视图后,采用格雷码-相移法获取目标的绝对相位信息,然后引入波义耳摩尔投票算法进行最大概率校正以降低视差图中的跳变噪声,经过亚像素级立体匹配和双目相机的立体标定后,得到3D掌纹信息。最后在自行搭建的一套便携式3D掌纹采集系统上进行实验,实验结果表明,该方法相比于传统基于双目立体视觉的3D掌纹采集系统,能提高掌纹的采集精度,获得更好的三维掌纹重建效果。With the maturity of three-dimensional(3 D) measurement technology, a non-contact 3 D palmprint acquisition system provides a new way for palmprint recognition. In order to improve the accuracy of 3 D palmprint information acquisition, a non-contact portable 3 D palmprint acquisition system based on binocular stereo vision and structured light is proposed. Firstly, the coding pattern is projected onto the surface of the palm of the target, and the binocular camera is used to obtain the left and right views. The Gray code-phase shift method is used to obtain the absolute phase information of the target. Then the Boyle Moore voting algorithm is introduced for maximum probability correction to reduce the jump noise in the disparity map. After sub-pixel stereo matching and stereo calibration of the binocular camera, the 3 D palmprint information is obtained. Finally, experiments are carried out on a set of self-built portable 3 D palmprint acquisition systems. The experimental results show that compared with the traditional 3 D palmprint acquisition system based on binocular stereo vision, this method can improve the palmprint acquisition accuracy and obtain better 3 D palmprint reconstruction effect.

关 键 词：图像处理 双目立体视觉 结构光 格雷码-相移法 立体匹配 三维掌纹采集 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]