This challenge is no longer accepting new submissions.
IARPA Multi-View Stereo 3D Mapping Challenge
Can you develop the best Multi-View Stereo (MVS) 3D mapping algorithm for commercial satellite imagery?
Office of Director of National Intelligence - Intelligence Advanced Research Project Activity
Type of Challenge: Scientific
Partner Agencies | Non-federal: Johns Hopkins University Applied Physics Laboratory, TopCoder, Booz Allen Hamilton
Submission Start: 09/06/2016 09:00 PM ET
Submission End: 10/04/2016 09:00 PM ET
This challenge is externally hosted.
You can view the challenge details here: https://www.iarpa.gov/challenges/3dchallenge.html
DescriptionIntelligence Advanced Research Projects Activity (IARPA), within the Office of the Director of National Intelligence (ODNI), is excited to launch the Master phase of the Multi-View Stereo 3D Mapping Challenge and wants you to participate! In this challenge, solvers will be asked to generate and submit an algorithm to convert high-resolution satellite images to 3D point clouds for the contest datasets. By harnessing the energy and expertise of the crowd, this Challenge aims to:
- Promote and benchmark research in multiple view stereo algorithms applied to satellite imagery.
- Stimulate various communities to develop and enhance automated methods to derive accurate 3D point clouds from multi-view satellite imagery, including computer vision, remote sensing and photogrammetry.
- Foster innovation through crowdsourcing and moving beyond current research limitations for 3D point clouds.
- Cultivate and sustain an ongoing collaborative community dedicated to this technology and research.
Cash Prize Amount: $20,000
First place prize winner!
Cash Prize Amount: $16,000
Second place prize winner!
Cash Prize Amount: $11,000
Third place prize winner!
Cash Prize Amount: $7,000
Fourth place prize winner!
Cash Prize Amount: $5,000
Fifth place prize winner!
Open Source Incentive (3)
Cash Prize Amount: $15,000
Gateway Progress Prize Pool
Cash Prize Amount: $12,000