Abstract
In this paper we summarize the results we have obtained in building a testbed for tele-collaboration. It is based on a highly accurate and precise stereo algorithm. The results demonstrate the live (on-line) recovery of 3-D models of a dynamically changing environment and the simultaneous display and manipulation of the models. Virtual tele-collaboration may soon change completely our way of communicating over the network.
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References
Ayache, N. and Hansen, C. (1988). Rectification of Images for Binocular and Trinocular StereovisionProc. of 9th International Conference on Pattern RecognitionVol. 1, pp. 11–16.
Belhumeur, P. (1996). A Bayesian Approach to Binocular StereopsisIntl. J. of Computer VisionVol. 19, No. 3, pp. 237–260.
Bajcsy, R. and Soling. F. (1987). Three Dimensional Object Representation RevisitedProc. Int. Conf. in Computer Vision.
Bowden, R., Heap, A.J., and Hogg, D.C. (1996). Real Time Hand Tracking and Gesture Recognition as a 3D Input Device for Graphical ApplicationsGesture WorkshopYork, UK.
Devernay, F. (1994). Computing Differential Properties of 3-D Shapes from Stereoscopic Images without 3-D Models, INRIA, RR-2304, Sophia Antipolis.
Dhond. U. and Aggrawal, J. (1989). Structure from Stereo: A ReviewIEEE Transactions on Systems, Man, and CyberneticsVol. 19, No. 6, pp. 1489–1510.
Fuchs, H. and Neumann. U. (1993). A Vision of Telepresence for Medical Consultations and Other ApplicationsProc. 6th Intl. Symp. on Robotics Res.
Heap, A.J. and Hoggs, D.C. (1996). 3D Deformable Hand ModelsGesture WorkshopYork, UK.
Kamberova, G. and Bajcsy, R. (1998). Sensor Errors and the Uncertainties in Stereo Reconstruction, to appear Proc.IEEE Workshop on Empirical Evaluation Techniques in Computer Vision, in conjunction with CVPR’98.
Konolige, K. (1997). Small Vision System: Hardware and Implementation, Eighth International Symposium onRobotics ResearchJapan.
Maybank, S. and Faugeras, O. (1992). A Theory of Self-Calibration of a Moving CameraIntl. J. of Computer VisionVol. 8, No. 2, pp. 123–151.
Metaxas, D. and Kakadiaris, I. (1996). Elastically Adaptive Deformable ModelsProc. European Conf. on Computer Vision.
Moravec, H. (1980/1981). Robot Rover Visual NavigationComputer Science:Artificial IntelligenceUMI Research Press, pp. 13–15 and 105–108.
Narayanan, P., Rander, P.. and Kanade, T. (1998). Constructing Virtual Worlds Using Dense StereoProc. Intl. Conf. Computer Vision ICC V98pp. 3–10.
Okutomi. M. and Kanade, T. (1993). A Multiple-baseline StereoIEEE Trans. on Pattern Analysis and Machine IntelligenceVol. 15, No. 4, pp. 353–363.
Sára, R. and Bajcsy, R. (1997). On Occluding Contour Artifacts in Stereo VisionProc. hit. Conf. Computer Vision and Pattern RecognitionIEEE Computer Society, Puerto Rico.
Sára, R., Bajcsy, R., Kamberova, G., and McKendall, R. (1998). 3-D Data Acquisition and Interpretation for Virtual Reality and Telepresence, Proc. IEEE/ATR Workshop on Computer Vision for Virtual Reality Based Human Communications, IEEE Computer Society Press, Bombay, India.
Sára, R. and Bajcsy, R. (1998). Fish-Scales: Representing Fuzzy ManifoldsProc. Int.Conference on Computer VisionBombay, India, Narosa Publishing House.
Scharstein, D. and Szeliski, R. (1996). Stereo Matching with Non-Linear DiffusionProc. Int. Conf. Computer Vision and Pattern RecognitionIEEE Computer Society, San Francisco, CA.
Roy, S. and Cox, I. (1998). A Maximum-Flow Formulation of the N-camera Stereo Correspondence ProblemProc. Int. Conf. Computer VisionNarosa Publishing House, Bombay, India.
Slater, M. and Wilbur, S. (1997). A Framework for Immersive Virtual Environments (FIVE): Speculations on the Role of Presence in Virtual EnvironmentsPresenceVol. 6, No. 6, pp. 603–616.
Tomasi, C. and Manduchi, R. (1996). Stereo Without Search, Proc. European Conf.Computer Vision, Cambridge, UK.
IEEE/ATR Workshop on Computer Vision for Virtual Reality Based Human CommunicationsIndian Institute of Technologyhttp://www.mic.atr.co.jp/tatsu/cvvncc/cvvprog.htmlIndia, January 3, 1998.
Yuille, A. and Poggio, T. (1984). A Generalized Ordering Constraint for Stereo CorrespondenceMIT, Artificial Intelligence Laboratory Memo, No. 777.
Advanced Networks and Services, Inc.National Tele-Immersion Initiative
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Bajcsy, R., Enciso, R., Kamberova, G., Nocera, L., Sara, R. (2000). 3-D Geometric Model Acquisition System for a Tele-Collaboration Testbed. In: Salas, M.D., Anderson, W.K. (eds) Computational Aerosciences in the 21st Century. ICASE LaRC Interdisciplinary Series in Science and Engineering, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0948-5_2
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DOI: https://doi.org/10.1007/978-94-010-0948-5_2
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