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Real-Time Correlation-Based Stereo Vision with Reduced Border Errors
International Journal of Computer Vision
CHI '99 Extended Abstracts on Human Factors in Computing Systems
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CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
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ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
Gaze Manipulation for One-to-one Teleconferencing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Enhanced Real-time Stereo Using Bilateral Filtering
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Hierarchical Coarse to Fine Depth Estimation for Realistic View Interpolation
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
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This paper presents a new interactive teleconferencing system. It adds a ‘virtual' camera to the scene which can move freely in between multiple real cameras. The viewpoint can automatically be selected using basic cinematographic rules, based on the position and the actions of the instructor. This produces a clearer and more engaging view for the remote audience, without the need for a human editor. For the creation of the novel views generated by such a ‘virtual' camera, segmentation and depth calculations are required. The system is semi-automatic, in that the user is asked to indicate a few corresponding points or edges for generating an initial rough background model. Next to the static background and moving foreground also multiple independently moving objects are catered for. The initial foreground contour is tracked over time, using a new active contour. If a second object appears, the contour prediction allows to recognize this situation and to take appropriate measures. The 3D models are continuously validated based on a Birchfield dissimilarity measure. The foreground model is updated every frame, the background is refined if necessary. The current implementation can reach approx 4 fps on a single desktop.