Multi-View Stereo 3D Mapping Challenge

Deadline: 2016-08-15
Award: $100,000 Total

Can you develop the Multi-View Stereo (MVS) 3D mapping algorithm for commercial satellite imagery with the best accuracy and completeness?

IARPA is conducting this Challenge to invite the broader research community of industry and academia, with or without experience in multi-view satellite imagery, to participate in a convenient, efficient and non-contractual way. IARPA’s use of a crowdsourcing approach to stimulate breakthroughs in science and technology also supports the White House’s Strategy for American Innovation, as well as government transparency and efficiency.

The challenge will consist of two contests—Explorer and Master—which progress in level of difficulty. Solvers will be asked to generate and submit an algorithm to convert high-resolution satellite images to 3D point clouds for the contest datasets. The datasets will be revealed in stages throughout the duration of the Challenge.

To complete each contest, solvers will be provided:

• Digital Globe commercial satellite images covering challenge sites in full National Imagery Transmission Format (NITF) format

• KML bounding box for each challenge area

Note: exact entry deadline not disclosed and is shown only as "August"