A modular hierarchical array camera
作者机构：Departm ent of Electronic EngineeringTsinghua UniversityBeijing 100084China Department of AutomationTsinghua UniversityBeijing 100084China College of Optical SciencesUniversity of ArizonaTucsonAZ 85721USA lnstitute of Brain and Cognitive ScienceTsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and TechnologyBeijing 100084China
出 版 物：《Light(Science & Applications)》 (光（科学与应用)（英文版）)
年 卷 期：2021年第10卷第4期
页 面：542-550页
核心收录：
学科分类：0808[工学-电气工程] 070207[理学-光学] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0803[工学-光学工程] 0702[理学-物理学]
基 金：the Natural Science Foundation of China(NSFC)under contract No.61860206003,in part by China Postdoctoral Science Foundation No.2020TQ0172 and No.2020M670338 in part by the Shenzhen Science and Technology Research and Developm ent Funds(JCYJ20180507183706645)
摘 要：Array cameras removed the optical limitations of a single camera and paved the way for high-performance imaging via the combination of micro-cameras and computation to fuse multiple aperture ***,existing solutions use dense arrays of cameras that require laborious calibration and lack flexibility and *** by the cognition function principle of the human brain,we develop an unstructured array camera system that adopts a hierarchical modular design with multiscale hybrid cameras composing different *** computations are designed to collaboratively operate along both intra-and intermodule *** system can adaptively allocate imagery resources to dramatically reduce the hardware cost and possesses unprecedented flexibility,robustness,and *** scenes of real-world data were acquired to perform human-centric studies for the assessment of human behaviours at the individual level and crowd behaviours at the population level requiring highresolution long-term monitoring of dynamic wide-area scenes.
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