Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appendix—projective geometry for machine vision
Geometric invariance in computer vision
BMVC 94 Proceedings of the conference on British machine vision (vol. 2)
Adaptive Aperture Control for Image Acquisition
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Electronically directed "focal" stereo
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
An integrated stereo-based approach to automatic vehicle guidance
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Fundamentals of Texture Mapping and Image Warping
Fundamentals of Texture Mapping and Image Warping
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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.