Abstract
To directly understand an unknown physical world, human visual sensing is a very important way. However, many physical scenes can not be directly sensed by the human visual system. A visual sensing system is an essential tool to link untouchable scenes and the human visual system. Here, visual sensing systems referring to devices and technologies can be used to capture, process, and interpret visible light signals of an unknown scene. Currently, the visual sensing system can be implemented through three different categories: traditional optical camera-based methods, ray-based light field methods, and wavefront-based light field methods. Among them, both the second and third methods can achieve realistic 3D imaging and reconstruction. In this chapter, we offer a comprehensive overview of the principles behind 3D imaging in visual sensing systems. We aim to provide a clear structure and thorough understanding of the various methods used for 3D imaging and reconstruction.
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Li, J. et al. (2023). Introduction. In: Cameras and Display Systems Towards Photorealistic 3D Holography. Series in Display Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-45844-6_1
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DOI: https://doi.org/10.1007/978-3-031-45844-6_1
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