| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
B. Schiele and J. L. Crowley
ABSTRACT
This paper presents a technique to determine the identity of objects in a scene using 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. In this paper we describe the mathematical foundations of the technique and present the results of experiments which compare robustness and recognition rates for different local neighborhood operators and histogram similarity measurements. The first part of the paper generalizes the Color Histogram matching technique developed by Swain and Ballard to the case of a multidimensional histogram of the responses from a vector of receptive fields. The second part of the paper shows the use of receptive field vector histograms for object recognition. Results of experiments are presented which show the robustness of the approach in the presence of changes of position, scale and image-plane rotation. |
|
| Site generated on Friday, 06 January 2006
|