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R. Huber and J. Biber and C. Nowak and B. Spatzek
ABSTRACT
A stereo vision system for recognition of 3D-objects is presented. The method uses a stereo camera pair and is able to detect objects located on a structured background constituting a repetitive 3D pattern, e.g. a staircase. Recognition is based on differencing stereo pair images, where a perspective warping transform is used to overlay the left onto the right image, or vice versa. The 3D camera positions are obtained during a learning phase where a 3D background model is employed. Correspondence between images and stereo disparity are derived based on the estimated pose of the background model. Disparity provides the necessary information for a perspective warping transform used in the recognition phase. The demonstrated application is staircase surveillance. Recognition itself is based on a pyramidal representation and segmentation of image intensity differences 
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
Recognition of Obstacles on Structured 3D Background Site generated on Friday, 06 January 2006