CAREER: Integrated systems for light field capture and analysis

职业：光场捕获和分析集成系统

• 批准号: 1150329
• 负责人: Alyosha Molnar
• 金额: $ 40万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-02-15 至 2017-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1150329&HistoricalAwards=false
• 关键词: CAREER; Integrated; systems; light; field

The objective of this project is to develop integrated, low cost systems able to capture and characterize light from 3-D scenes while minimizing or eliminating the need for off-chip computation. The intellectual merit of this research is in understanding the capabilities and limitations of imaging systems using diffractive angle-sensitive pixels to analyze the light field. This includes: 1) Developing models of how scene statistics are reflected in the output statistics of angle sensitive pixel arrays, and so developing algorithms to extract useful information about the scene, such as depth, 3-D directional motion, and object recognition. 2) Understanding how to optimize arrays of angle sensitive pixels to encode scenes at various focal depths, as well as how to best deploy signal selection, conditioning and processing circuits to take advantage of these arrays? signal properties when encoding real scenes. 3) Investigating new integrated diffractive structures that enhance ASP quantum efficiency and spatial resolution, and that filter the light field in new ways. The broader impacts of this research will include enhanced imaging systems with applications in security, automation, health care, and scientific research, from wildlife tracking to microscopy. This work will also impact the commercial sphere by providing new capabilities in consumer electronics, helping to boost economic growth. These impacts are increased because these systems use standard CMOS manufacturing, and so can be mass-produced at very low size and cost. This research provides an easily-understood example of low-level physics driving useful high-level function, providing compelling examples for recruiting and inspiring future engineers.

该项目的目标是开发集成的低成本系统，能够捕获和表征来自3D场景的光，同时最大限度地减少或消除对片外计算的需求。这项研究的智力价值在于理解使用衍射角敏感像素来分析光场的成像系统的能力和局限性。这包括：1）开发场景统计如何反映在角度敏感像素阵列的输出统计中的模型，并因此开发算法以提取关于场景的有用信息，诸如深度、3D定向运动和对象识别。2)了解如何优化角度敏感像素阵列以编码不同焦深的场景，以及如何最好地部署信号选择、调节和处理电路以利用这些阵列？在编码真实的场景时的信号属性。 3)研究新的集成衍射结构，提高ASP量子效率和空间分辨率，并以新的方式过滤光场。 这项研究的更广泛影响将包括增强的成像系统，其应用于安全，自动化，医疗保健和科学研究，从野生动物跟踪到显微镜。这项工作还将通过提供消费电子产品的新功能来影响商业领域，有助于促进经济增长。这些影响增加，因为这些系统使用标准CMOS制造，因此可以以非常低的尺寸和成本进行大规模生产。 这项研究提供了一个易于理解的例子，说明低层次的物理驱动有用的高层次功能，为招聘和激励未来的工程师提供了令人信服的例子。