Advances in Case-Based Reasoning: Third European Workshop by Vincent Aleven, Kevin D. Ashley (auth.), Ian Smith, Boi PDF

By Vincent Aleven, Kevin D. Ashley (auth.), Ian Smith, Boi Faltings (eds.)

ISBN-10: 3540619550

ISBN-13: 9783540619550

This ebook constitutes the refereed complaints of the 3rd ecu Workshop on Case-Based Reasoning, EWCBR-96, held in Lausanne, Switzerland, in November 1996.
Case-based reasoning is an beautiful process for facing the information acquisition bottleneck in computing device purposes; options to new difficulties are came across by means of adapting related event from the prior, referred to as situations. The 38 revised complete papers provided have been rigorously chosen from a vast number of submissions after an intensive refereeing strategy. the quantity refleats the state-of-the-art in case-based reasoning learn and applications.

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Additional info for Advances in Case-Based Reasoning: Third European Workshop EWCBR-96 Lausanne, Switzerland, November 14–16, 1996 Proceedings

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19] H. C. Longuet-Higgins. A computer algorithm for reconstructing a scene from two projections. Nature, 293:133–135, 1981. [20] H. C. Longuet-Higgins and K. Prazdny. The interpretation of a moving retinal image. Proc. Royal Society, London B, 208:385–397, 1980. [21] S. J. Maybank. Theory of Reconstruction from Image Motion. Springer, Berlin, 1993. [22] T. Poggio and W. Reichardt. Considerations on models of movement detection. Kybernetik, 13:223–227, 1973. [23] W. Reichardt. Autocorrelation, a principle for evaluation of sensory information by the central nervous system.

Ishiguro, M. Yamamoto, S. Tsuji: Omni-directional stereo. PAMI 14(2) (February 1992) pp. 257–262. [6] K. Kanatani: Geometric Computation for Machine Vision. Oxford Uni. Press, New York (1993). -B. Kang, R. Szeliski: 3-d scene data recovery using omnidirectional multibaseline stereo. IJCV 25(2) (November 1997) pp. 167–183. [8] R. Klette, K. Schl¨uns, A. Koschan: Computer Vision - Three-Dimensional Data from Images. Springer, Singapore (1998). [9] L. McMillan, G. Bishop: Plenoptic modeling: an image-based rendering system.

Figure 5 shows an example of the epipolar lines in a symmetric pair of concentric panoramas. The parameters are the same as the previous settings. Only the orientations of the slit cameras are different. One is equal to 10◦ and the other is equal to 300◦ . Note that all the epipolar curves become straight lines and coincide with image rows. 3 F. K. Wei, and R. Klette Epipolar Curve in Single-Center Panoramas A set of polycentric panoramic images acquired with all the slit camera’s focal points coincided at a single point is called single-center panoramas.

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Advances in Case-Based Reasoning: Third European Workshop EWCBR-96 Lausanne, Switzerland, November 14–16, 1996 Proceedings by Vincent Aleven, Kevin D. Ashley (auth.), Ian Smith, Boi Faltings (eds.)


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