计算摄像学专题概述（英文）

发布时间：2018-03-03 04:34

本文选题：视觉信号　切入点：计算机视觉　出处：《Frontiers of Information Technology & Electronic Engineering》2017年09期 　论文类型：期刊论文

【摘要】：计算摄像学是为了突破传统成像技术局限而诞生的新兴领域,在研制新型民用相机和科学观测设备方面均有巨大潜力。过去十余年,计算摄像学在计算机视觉、图形学、光学以及信号处理等多学科交叉领域开启了新的前沿,学术界和工业界共同见证了此领域的一系列创新和重大进展。可以说,该领域充满机遇和挑战。为此,我们出版此计算摄像学专题,以推动此领域的研究。依据视觉信号的维度,我们将计算摄像学研究分为空间结构成像、多光谱采集、相位成像以及瞬态信息记录等。计算摄像学研究也受益于光电科技的发展。为促进读者对此领域最新进展的全面了解,此专题包括8篇邀请文章,其中7篇综述——包括1篇该领域总体概述和6篇关于视觉信号不同维度计算成像方法进展的调查——以及1篇关于片上光互连近期进展的研究论文。
[Abstract]:Computational photography is a new field born to break through the limitations of traditional imaging technology. It has great potential in the development of new civil cameras and scientific observation equipment. In the past decade or so, computational photography has been used in computer vision and graphics. The interdisciplinary fields of optics and signal processing have opened new frontiers, and academia and industry have witnessed a series of innovations and major advances in this field. It can be said that this field is full of opportunities and challenges. We publish this topic of Computational Photography to promote research in this field. According to the dimension of visual signal, we divide the study of Computational Photography into spatial structure imaging, multi-spectral acquisition, Phase imaging and transient information recording. The research of computational photography also benefits from the development of optoelectronic technology. To promote a comprehensive understanding of the latest developments in this field, this topic includes eight invited articles. Seven of them include a general overview of the field, six investigations on the progress of computational imaging methods for different dimensions of visual signals, and one research paper on the recent progress of on-chip optical interconnection.
【作者单位】： Tsinghua
【分类号】：TP391.41

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