Discovery Projects - Grant ID: DP200101675

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP200101675

Funding Status
Active

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Funded Activity Summary

New Paradigms for Robust Fitting: Kernelisation and Polyhedral Search. Outliers inevitably exist in visual data due to imperfect data acquisition or preprocessing. To enable computer vision applications that can perform reliably, robust fitting algorithms are necessary to counter the biasing influence of outliers. However, current robust algorithms are unsatisfactory: they are unreliable (due to using randomisation) or too computationally costly (due to using exhaustive search). This project will develop new robust algorithms to mitigate these shortcomings. It will do so by investigating two new paradigms of kernelisation and polyhedral search, which offer unprecedented theoretical insights into the problem. The outcomes will contribute towards computer vision applications that are more practical and reliable.

Funded Activity Details

Start Date: 07-2020

End Date: 12-2024

Funding Scheme: Discovery Projects

Funding Amount: $370,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Computer Vision | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences |

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