View Invariant Object Recognition using Coloured Receptive Fields
Daniela Hall, James L. Crowley, Vincent Colin de Verdière · 2000
This paper describes a technique for the recognition and tracking of every day objects. The goal is to build a system in which ordinary desktop objects serve as physical icons in a vision based system for man-machine interaction. In such a system, the manipulation of objects replaces user commands. This method is based on sampling a local appearance function at discrete viewpoints by projecting it onto a vector of receptive fields which have been normalised to local scale and orientation. This paper reports on the experimental validation of the approach, and of its extension to the use of receptive fields based on colour. The experimental results indicate that the technique does indeed provide a method for building a fast and robust recognition technique. Furthermore, the extension to coloured receptive fields provides a greater degree of local discrimination. The coloured receptive field approach is applied to the recognition of objects under changing view points. Appearance of ob...