Spectral 3D computer vision examines both the geometric and spectral properties of objects. It provides a deeper understanding of an object's physical properties by providing information from narrow bands in various regions of the electromagnetic spectrum. Mapping the spectral information onto the 3D model reveals changes in the spectra-structure space or enhances 3D representations with properties such as reflectance, chromatic aberration, and varying defocus blur. This emerging paradigm advances traditional computer vision and opens new avenues of research in 3D structure, depth estimation, motion analysis, and more. It has found applications in areas such as smart agriculture, environment monitoring, building inspection, geological exploration, and digital cultural heritage records. This survey offers a comprehensive overview of spectral 3D computer vision, including a unified taxonomy of methods, key application areas, and future challenges and prospects.
翻译:3D计算机视觉通过提供电磁频谱不同区域的窄带信息,更深入地了解物体的物理特性;将光谱信息映射到3D模型中,揭示了光谱结构空间的变化,或加强了3D的外观特征,如反射、色变和不同偏差等特性的外观。这种新兴的范式推进了传统的计算机视野,开辟了3D结构、深度估计、运动分析等新的研究途径。它发现在智能农业、环境监测、建筑物检查、地质勘探和数字文化遗产记录等领域的应用,全面概述了光谱3D计算机视觉,包括方法、关键应用领域以及未来挑战和前景的统一分类。