三维手印和掌纹采集使用全场复合彩色条纹投影

Hui Feng, Zhaohui Wang, D. Kuang, Zonghua Zhang, Sixiang Zhang
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引用次数: 2

摘要

提出了一种通过投影复合彩色条纹图案来同时获取手掌纹和掌纹三维信息的方法。现有的研究主要集中在二维生物特征上,从二维图像中提取的特征受到压力的扭曲或失去了三维信息。而非接触操作的三维特征可以在不失真的情况下获得特征分布模式,同时获得真实的手形态和手掌纹的全局特性。设计了一个原型三维成像系统,用于捕获和处理手表面的复合彩色条纹图案。硬件配置包括一个DLP(数字光处理)投影仪,一个带防火墙端口的彩色CCD相机和一台个人计算机(PC)。为了快速获取三维精确形状数据,将正弦条纹和二值条纹图案编码为红、绿、蓝三色通道,生成复合彩色条纹图案图像。DLP投影仪将复合RGB条纹图案投射到人手表面。从另一个角度来看,CCD相机捕获图像并将其保存到计算机中进行后处理。从正弦条纹图中可以高精度地计算出包裹相位信息。而每个正弦条纹图的绝对条纹阶数是由二值条纹图序列决定的。将得到的包络相位与条纹绝对阶数相结合,可以计算出每个像元的绝对相位图。对人手的实验结果表明,该方法能够正确地获取手和掌纹的绝对相位(形状)数据。
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3D hand and palmprint acquisition using full-field composite color fringe projection
This paper presents a method to simultaneously get 3D hand and palmprint information by projecting composite color fringe patterns. The existing researches mainly focus on 2D biological features, and the extracted features from 2D image are distorted by pressure or lose the third dimensional information. But 3D features with non-contact operation can obtain the characteristic distribution patterns without distortion, and simultaneously obtain real hand morphology and the global properties of hand and palmprint. A prototype 3D imaging system is designed to capture and process the composite color fringe patterns on the hand surface. The hardware configuration comprises a DLP (digital light processing) projector, a color CCD camera with fireware port and a personal computer (PC). In order to fast acquire 3D accurate shape data, sinusoidal and binary fringe patterns are coded into red, green and blue channels to generate composite color fringe pattern images. The DLP projector projects composite RGB fringe patterns onto the surface of human hands. From another viewpoint, the CCD camera captures the images and saves them into the computer for postprocessing. Wrapped phase information can be calculated from the sinusoidal fringe patterns with high precision. While the absolute fringe order of each sinusoidal fringe pattern is determined by the binary fringe pattern sequences. The absolute phase map of each pixel can be calculated by combining the obtained wrapped phase and the absolute fringe order. Some experimental results on human hands show that the proposed method correctly obtains the absolute phase (shape) data of hand and palmprint.
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