Page 274 - Innovations in Intelligent Machines
P. 274

Toward Robot Perception through Omnidirectional Vision  267
                           32. J. Gaspar, C. Decc´o, J. Okamoto Jr, and J. Santos-Victor, Constant resolution
                               omnidirectional cameras, 3rd International IEEE Workshop on Omni-directional
                               Vision at ECCV, 2002, pp. 27–34.
                           33. J. Gaspar, E. Grossmann, and J. Santos-Victor, Interactive reconstruction from
                               an omnidirectional image, 9th International Symposium on Intelligent Robotic
                               Systems (SIRS’01), July 2001.
                           34. J. Gaspar and J. Santos-Victor, Visual path following with a catadiop-
                               tric panoramic camera, Int. Symp. Intelligent Robotic Systems, July 1999,
                               pp. 139–147.
                           35. J. Gaspar, N. Winters, and J. Santos-Victor, Vision-based navigation and envi-
                               ronmental representations with an omni-directional camera, IEEE Transactions
                               on Robotics and Automation 16 (2000), no. 6, 890–898.
                           36. D. Gavrila and V. Philomin, Real-time object detection for smart vehicles, IEEE,
                               Int. Conf. on Computer Vision (ICCV), 1999, pp. 87–93.
                           37. C. Geyer and K. Daniilidis, A unifying theory for central panoramic systems and
                               practical applications, ECCV 2000, June 2000, pp. 445–461.
                           38. ——, Catadioptric projective geometry, International Journal of Computer
                               Vision 43 (2001), 223–243.
                           39. Gene H. Golub and Charles F. Van Loan, Matrix computations, third ed., Johns
                               Hopkins Studies in the Mathematical Sciences, The Johns Hopkins University
                               Press, 1996. MR 1 417 720.
                           40. P. Greguss, Panoramic imaging block for 3d space, US patent 4,566,763, January
                               1986, Hungarian Patent granted in 1983.
                           41. P. Greguss (ed.), Ieee icar 2001 workshop on omnidirectional vision applied to
                               robotic orientation and non-destructive testing, August 2001.
                           42. E. Grossmann, D. Ortin, and J. Santos-Victor, Algebraic aspects of recon-
                               struction of structured scenes from one or more views, British Machine Vision
                               Conference, BMVC2001, September 2001, pp. 633–642.
                           43. Etienne Grossmann, Maximum likelihood 3d reconstruction from one or more
                               uncalibrated views under geometric constraints, Ph.D. thesis, Instituto Superior
                               T´ecnico, Dept. Electrical Engineering, Lisbon–Portugal, 2002.
                           44. E. Hecht and A. Zajac, Optics, Addison Wesley, 1974.
                           45. R. Hicks, The page of catadioptric sensor design, http://www.math.drexel.
                               edu/ ahicks/design/, 2004.
                                  ∼
                           46. R. Hicks and R. Bajcsy, Catadioptric sensors that approximate wide-angle
                               perspective projections, Proceedings of the Computer Vision and Pattern Recog-
                               nition Conference (CVPR’00), June 2000, pp. 545–551.
                           47. A. Howard, M.J. Mataric, and G. Sukhatme, Putting the ‘i’ in ‘team’: an ego-
                               centric approach to cooperative localization, IEEE Int. Conf. on Robotics and
                               Automation, 2003.
                           48. D. Huttenlocher, G. Klanderman, and W. Rucklidge, Comparing images using
                               the hausdorff distance, IEEE Transactions on Pattern Analysis and Machine
                               Intelligence 15 (1993), no. 9, 850–863.
                           49. D. Huttenlocher, R. Lilien, and C. Olsen, View-based recognition using an
                               eigenspace approximation to the hausdorff measure, IEEE Transactions on
                               Pattern Analysis and Machine Intelligence 21 (1999), no. 9, 951–956.
                           50. S. B. Kang and R. Szeliski, 3d scene data recovery using omnidirectional multi-
                               baseline stereo, CVPR, 1996, pp. 364–370.
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