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; 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.

该项目的目的是开发能够从3-D场景中捕获和表征光线的集成，低成本系统，同时最小化或消除对芯片外计算的需求。这项研究的智力优点在于使用衍射角敏感像素来理解成像系统的能力和局限性来分析光场。这包括：1）开发场景统计的模型如何反映在角度敏感像素阵列的输出统计中，因此开发算法以提取有关场景的有用信息，例如深度，3-D方向运动和对象识别。 2）了解如何优化角度敏感像素的阵列以在各个焦点深处编码场景，以及如何最好地部署信号选择，调理和处理电路以利用这些阵列？编码真实场景时的信号属性。 3）研究新的综合衍射结构，以提高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从野生动植物跟踪到显微镜的安全，自动化，医疗保健和科学研究中应用的增强成像系统。这项工作还将通过提供消费电子产品的新能力来影响商业领域，从而有助于促进经济增长。这些影响会增加，因为这些系统使用标准的CMOS制造，因此可以以非常低的大小和成本进行大量生产。 这项研究提供了一个易于理解的低级物理学的示例，可驱动有用的高级功能，为招募和启发未来的工程师提供了令人信服的例子。