A framework for the generation of high-precision and quantifiable methods in computer vision. [ 2002-01-01 - 2005-02-14 ]

Research Grant

Researchers: Prof Michael Brooks (Chief Investigator)

Brief description A framework for the generation of high-precision and quantifiable methods in computer vision. Computer vision is concerned with many challenging problems assuming a variety of mathematical forms. An example might be computing new views of a 3D scene given some existing views. This project aims to develop a procedural framework that enables a wide class of problems to be solved with both high precision and a quantifiable level of accuracy. Many practical vision-based applications will stand to gain from this work.

Funding Amount $207,736

Funding Scheme Discovery Projects

View this grant in the ARC Data Portal