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Automatic refinement of 3D pose estimation using multiple cameras

Lead Research Organisation: University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP

Abstract

The Self-Learning Studio - the project will focus on the automatic refinement of 3D pose estimation using multiple cameras. In contrast to other approaches we will not make use of mocap points or accelerometers, but instead fuse together 3D post estimations generated by single cameras into coherent joint estimates, and use the improved estimations to retain the estimators used by a single camera. It's believed that these bootstrapped estimators will have greater robustness and accuracy than the initial estimators, allowing their use in wider circumstances.

People

ORCID iD

Matteo Toso (Student)

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509772/1 30/09/2016 29/09/2021
1947914 Studentship EP/N509772/1 30/09/2017 31/01/2021 Matteo Toso