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It is with nice excitement that we welcome you all to the court cases of the second InternationalSymposiumonVisualComputing(ISVC2006)heldinLakeTahoe. Followinga successfulmeeting lastyear,wewitnesseda muchstrongerandmore effective occasion this yr. ISVC o?ers a standard umbrella for the 4 major components of visible computing together with imaginative and prescient, snap shots, visualization, and digital truth. Its target is to supply a discussion board for researchers, scientists, engineers and practitionersthroughouttheworldtopresenttheirlatestresearch?ndings,ideas, advancements and functions within the broader sector of visible computing. This yr, this system consisted of thirteen oral classes, one poster consultation, ten exact tracks, and 6 keynote shows. The reaction to the decision for - pers was once very powerful. We got greater than two times the papers bought final 12 months. Speci?cally, we acquired over 280 submissions for the most symposium from which we authorized sixty five papers for oral presentation (23% popularity) and fifty six papers for poster presentation (20% acceptance). certain tune papers have been solicited individually during the Organizing and software Committees of every song. a complete of fifty seven papers have been approved for presentation within the specified tracks. All papers have been reviewed with an emphasis on capability to give a contribution to the cutting-edge within the ?eld. choice standards integrated accuracy and originality of principles, readability and signi?cance of effects, and presentation caliber. The evaluate procedure used to be fairly rigorous, related to to 3 self sufficient blind stories by means of numerous days of debate. through the dialogue interval we attempted to right anomalies and blunders that would have existed within the preliminary reviews.
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Extra info for Advances in Visual Computing: Second International Symposium, ISVC 2006 Lake Tahoe, NV, USA, November 6-8, 2006. Proceedings, Part II
P. Pala, S. Santini, “Image retrieval by shape and texture”, PATREC: Pattern Recognition, pp. 517-527, 1999. 18. Shigenobu Kobayashi, “COLOR IMAGE SCALE”, Kodansha, 1991. 19. Gonzalez et al. “Digital Image Processing”, Addison-Wesley, 2002. 20. , Wiley Interscience, 2001. 21. Valluru B. , M&T Books, 1995. Aﬃne Camera for 3-D Retinal Surface Reconstruction Thitiporn Chanwimaluang and Guoliang Fan School of Electrical and Computer Engineering Oklahoma State University, Stillwater, OK 74078 Abstract.
Then, four virtual cameras are positioned according to the ETDRS imaging setting, as shown in Fig. 4(a). The four synthetic images captured by these cameras are shown in Fig. 4(b). In the following experiments, we added zero-mean and isotropic Gaussian noise of diﬀerent levels 26 T. Chanwimaluang and G. Fan 200 200 100 100 0 0 −100 −100 −200 −200 −100 0 100 −200 −200 200 −100 0 −100 0 100 200 200 200 100 100 0 0 −100 −100 −200 −200 −100 0 100 −200 −200 200 (a) 100 200 (b) Fig. 4. (a) The set up of four synthetic cameras.
16. Eun Yi Kim, Soo-jeong Kim, “Emotion-based Textile Indexing Using Color, Texture , Fuzzy Systems and Knowledge Discovery”, Vol. 3613, pp. 1077~1080, 2005. 17. P. Pala, S. Santini, “Image retrieval by shape and texture”, PATREC: Pattern Recognition, pp. 517-527, 1999. 18. Shigenobu Kobayashi, “COLOR IMAGE SCALE”, Kodansha, 1991. 19. Gonzalez et al. “Digital Image Processing”, Addison-Wesley, 2002. 20. , Wiley Interscience, 2001. 21. Valluru B. , M&T Books, 1995. Aﬃne Camera for 3-D Retinal Surface Reconstruction Thitiporn Chanwimaluang and Guoliang Fan School of Electrical and Computer Engineering Oklahoma State University, Stillwater, OK 74078 Abstract.