The National Science Foundation Division of Computing and Communication Foundations awarded a $213,372 Project Grant to Rutgers, The State University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of a theoretical framework for the design and analysis of snapshot compressive imaging systems to efficiently capture 3D data cubes such as hyperspectral images or video files from a single 2D measurement. The...
This $800,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the development of innovative snapshot computational imaging systems that leverage metaoptics technology. The project, led by Dartmouth College, aims to create computational camera simulators capable of modeling the complex interactions of light across various dimensions, and to leverage these tools to design and build...
This Project Grant award, valued at $400,000, was provided by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award supports the development of innovative "snapshot computational imaging" systems that leverage recent advances in metaoptics, or optical devices using sub-wavelength nano-structures, to capture multidimensional information about light interactions with the world. The key objectives of this...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $599,945 will fund the development of a 3D computer vision framework that integrates multiple sensing modalities, including RGB cameras, depth sensors, LiDAR, and event cameras. The research aims to enhance feature extraction, tracking, and large-scale scene reconstruction to improve perception accuracy and adaptability in unstructured environments. Key...
The National Science Foundation Division of Computing and Communication Foundations awarded a $189,392 Project Grant to the University of Texas at Austin under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The five-year award will support the development of a machine learning framework for robust computational imaging system design. Key products include new deep generative physical models to separate modeling of the physical imaging system from...
The National Science Foundation (NSF) awarded a $300,000 Project Grant to Arizona State University under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on January 1, 2024. The grant supports a 3-year collaborative research project to develop novel hardware platforms and algorithms for fusing optical and ultrasonic sensors to enhance computer vision and computational imaging capabilities. The key products and services to be delivered include: New rendering...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) totaling $600,000 will support research to develop an innovative imaging solution that can overcome the diffraction limit, a fundamental constraint on imaging resolution. The project aims to explore the use of metasurfaces, a novel optical element, in conjunction with computational data processing to achieve sub-diffraction-limit imaging....
This $499,495 National Science Foundation project grant supports the development of computational imaging solutions to facilitate underwater robotic tasks through September 2024. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the grantee George Mason University will develop a novel angularly sampled imaging system and algorithms to analyze nonlinear light transport in water, model underwater surface reflectance, and reconstruct three-dimensional...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) project grant (CFDA 47.070) provides $600,000 in funding to the University of California, San Diego (UCSD) from July 2024 to June 2027. The project aims to develop a novel, resolution-independent neural image representation that preserves key image discontinuities, enabling higher-fidelity computer graphics and computational photography applications. Key deliverables include a 2D...
The National Science Foundation awarded a $374,998 project grant to the University of South Florida under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research into three dimensional algorithmic assembly and information storage from May 2021 through April 2024. The Computer and Information Science and Engineering program aims to advance computing, communications, and information science through investigator-initiated research and education....