SBIR/STTR Research Award

MAP-Tk: Motion Imagery Aerial Photogrammetry Toolkit

Award identifier 4d7e6a40600e6da6593010be6aca566e19047a47fc4d2c1090c38133ebf7bd74Awarding agency Department of Defense · Air Force

Award amount

$149,963

Program and phase

SBIR · Phase I

Award year

2013

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
KITWARE INC
Proposal award date
2013-09-05
Contract end date
2014-06-06
UEI
DK6LPWMS5LP5
Solicitation number
2013.1
Topic code
AF131-151

Research abstract

ABSTRACT: Kitware proposes MAP-Tk, the open-source Motion imagery Aerial Photogrammetry Toolkit, designed for optimized sparse bundle adjustment (SBA) of FMV and WAMI. Our proposed toolkit has a highly configurable and modular design supporting interchange of existing solutions for feature detection, description, correspondence, and SBA. Each module will build on existing open source software, including VXL and OpenCV. Kitware will also provide a custom solution for each module that is optimized for aerial video. In particular, Kitware will provide a GPU accelerated feature detector and descriptor using OpenCL. Kitware will also provide a feature correspondence module that replaces pairwise frame matching with sequential tracking assisted by a dynamic search radius around each feature point. Robust homography estimation will provide geometric constraints on the matching and these same homographies will guide the search for loop closure. Our sparse bundle adjustment module will select key frames in a temporal hierarchy to significantly reduce the problem size and rapidly obtain a coarse-scale solution before interpolating and optimizing the cameras of the remaining frames. It will also reduce the problem size by limiting the number of points in the reconstruction. MAP-Tk will support both archive-mode, for maximum accuracy, and streaming-mode, for real-time operation. BENEFIT: The primary benefit of the proposed work is a solution to problem of camera calibration from motion imagery that is far faster than the existing state-of-the-art. This solution will reduce reliance of intelligence, surveillance, and reconnaissance (ISR) systems on inertial navigation and global positioning, which are often unreliable or unavailable. Likewise, it will have the same benefit for commercial mapping applications that rely on aerial video for mapping and 3D urban modeling. A secondary benefit of the proposed work is the open source toolkit that will be released containing all of the developed technology. The existence of this toolkit will benefit the research community, and the research community will, in turn, enhance the software at no cost to the program. The open source toolkit will also directly benefit Kitware by creating more consulting contracts surrounding the technology.

Technology keywords

Not reported

Other awards by this recipient

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Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

243 SBIR/STTR records share this UEI (1998–2025). Reported award amounts total $140,194,302. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Health and Human Services, Department of Energy, National Science Foundation, National Aeronautics and Space Administration, Department of Commerce

Agency intelligence

Department of Defense

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