Pose Search
Lead Participant:
EATON MEDIA LIMITED
Abstract
The goal of this project is to develop a robust machine-learning search tool that operates on human poses and locates exact or similar poses across a large dataset of photography and figurative artwork. The tool will allow users to either search for 'similar poses' to a current reference image, or to pose a virtual 3d mannequin and have that pose and camera view entered into the search.
The tool will integrate the current state of the art in pose-estimation algorithms along with a custom annotated dataset of dynamic photographic and artwork from BodiesinMotion.photo. The tool will give end users poweful ans precise image search for human figures, in a way that is not currently possible with text and keyword search.
The tool will integrate the current state of the art in pose-estimation algorithms along with a custom annotated dataset of dynamic photographic and artwork from BodiesinMotion.photo. The tool will give end users poweful ans precise image search for human figures, in a way that is not currently possible with text and keyword search.
Lead Participant | Project Cost | Grant Offer |
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Participant |
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EATON MEDIA LIMITED |
People |
ORCID iD |
Scott Eaton (Project Manager) |