An Overview of Spectral Imaging of Human Skin Toward Face Recognition
An Overview of Spectral Imaging of Human Skin Toward Face Recognition
复制标题
DOI：
10.1007/978-3-319-28501-6_1
复制
发表时间：
2016-02
期刊：
影响因子：
--
通讯作者：
D. Allen
中科院分区：
文献类型：
--
作者：
D. Allen
光谱成像是遥感的一种形式，提供了一种无需物理接触即可从周围环境收集信息的方法。电磁频谱上光谱反射率的差异可以实现场景中物体的检测、分类或量化。该领域的发展很大程度上受益于地球观测机载和星载计划。从光谱成像获得的信息已被认为对从区域到全球范围做出了关键贡献。紧凑型高光谱传感器的新兴市场在较小的空间尺度上为医疗、环境、安全和工业过程等大量应用带来了新的机遇。市场预计将继续发展，并导致传感器尺寸、性能和成本的进步。为了将光谱成像用于特定任务，对感兴趣对象的现象学、成像传感器、图像处理和结果解释有一个基本的了解至关重要。人体组织的光谱成像具有众所周知的成分组合的坚实基础，例如血红蛋白、黑色素和水，使皮肤与大多数背景不同。这些成分分布不均，并且在个体皮肤和个体之间存在差异。光谱成像的空间分量为区分这些差异的光谱提供了基础。本章介绍了电磁频谱中的能量与人体组织和其他材料的相互作用、传感器和数据收集的基础知识、常用分析技术以及决策结果的解释。本章提供的基本信息可用于可采用光谱成像的广泛应用，包括人脸识别。
Spectral imaging is a form of remote sensing that provides a means of collecting information from surroundings without physical contact. Differences in spectral reflectance over the electromagnetic spectrum allow for the detection, classification , or quantification of objects in a scene. The development of this field has largely benefited from Earth observing airborne and spaceborne programs. Information gained from spectral imaging has been recognized as making key contributions from the regional to the global scale. The burgeoning market of compact hyperspectral sensors has opened new opportunities, at smaller spatial scales, in a large number of applications such as medical, environmental, security, and industrial processes. The market is expected to continue to evolve and result in advancements in sensor size, performance, and cost. In order to employ spectral imaging for a specific task, it is critical to have a fundamental understanding of the phenomenology of the subject of interest, the imaging sensor, image processing, and interpretation of the results. Spectral imaging of human tissue has the strong foundation of a well-known combination of components, e.g., hemoglobin, melanin, and water that make skin distinct from most backgrounds. These components are heterogeneously distributed and vary across the skin of individuals and between individuals. The spatial component of spectral imaging provides a basis for making spectral distinctions of these differences. This chapter provides an introduction to the interaction of energy in the electromagnetic spectrum with human tissue and other materials, the fundamentals of sensors and data collection, common analysis techniques, and the interpretation of results for decision making. The basic information provided in this chapter can be utilized for a wide range of applications where spectral imaging may be adopted including face recognition .