The Robustness of Object Recognition to View Point Changes Using Multidimensional Receptive Field Histograms
Bernt Schiele, James L. Crowley · 1996
In [SC96] we presented a technique to determine the identity of objects in a scene using multidimensional histograms of the responses of a vector of local linear neighborhood operators (receptive fields). This technique can be used to determine the most probable objects in a scene, independent of the object's position, image-plane orientation and scale. The present paper describes experiments to evaluate the robustness of multidimensional receptive field histograms to view point changes, using the Columbia image database [MN95]. In this experiment we examine the performance of different filter combinations, histogram matching functions and design parameter of the multidimensional histograms. The first part of the paper summarizes the mathematical foundations of multidimensional Receptive Field Histograms. The second part of the paper shows the experimental evaluation of the robustness of the approach to view point changes (3D--rotation). 1 Introduction In [SC96] we generalized the col...