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Division of Information & Intelligent Systems

Computer Vision

This program has been archived.

CONTACTS

Name Email Phone Room
Junku  Yuh jyuh@nsf.gov 9-011-81-3-3224-5505   

PROGRAM GUIDELINES

Solicitation  03-602

Important Notice to Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG), NSF 13-1, was issued on October 4, 2012 and is effective for proposals submitted, or due, on or after January 14, 2013. Please be advised that, depending on the specified due date, the guidelines contained in NSF 13-1 may apply to proposals submitted in response to this funding opportunity.

Please be aware that significant changes have been made to the PAPPG to implement revised merit review criteria based on the National Science Board (NSB) report, National Science Foundation's Merit Review Criteria: Review and Revisions. While the two merit review criteria remain unchanged (Intellectual Merit and Broader Impacts), guidance has been provided to clarify and improve the function of the criteria. Changes will affect the project summary and project description sections of proposals. Annual and final reports also will be affected.

A by-chapter summary of this and other significant changes is provided at the beginning of both the Grant Proposal Guide and the Award & Administration Guide.

DUE DATES

Archived

SYNOPSIS

The mission of the Computer Vision program is to provide opportunities to develop novel ideas into projects that have the potential to lead to advanced visual perception and intelligent systems. The Computer Vision program supports fundamental research and related education activities in computer vision. The emphasis is on image representation and interpretation for systems designed to infer properties of the environment from imaging data, and advanced vision systems providing cognitive abilities.

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THIS PROGRAM IS PART OF

Data, Inference and Understanding Cluster


What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

Map of Recent Awards Made Through This Program

Discoveries



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