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┌────────────────────────────────────────────────────────────────────────────┐
│■■ » RELEASE iNFORMATiON « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ TiTLE : Robust Range Image Registration Using Genetic Algorithms │░│
│░│ And The Surface Interpenetration Measure (Series in │░│
│░│ Machine Perception and Artificial Intelligence) │░│
│░├────────────────────────────────────────────────────────────────────────┤░│
│░│ AUTHOR : LUCIANO SILVA, Olga R. P. Bellon, Kim L. Boyer │░│
│░├────────────────────────────────────────────────────────────────────────┤░│
│░│ PUBLISHER : World Scientific Publishing Company │░│
│░├────────────────────────────────────┬───────────────────────────────────┤░│
│░│ iSBN : 9812561080 │ MAKER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ PAGES : 164 Pages │ PACKAGER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ EDiTiON : December 31, 2004 │ SUPPLiER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ LANGUAGE : ENGLISH │ FORMAT : PDF │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ RLS DATE : 03/27/05 │ SiZE : 14.8 MB │░│
┌─┴────────────────────────────────────┴───────────────────────────────────┴─┐
│■■ » RELEASE NOTES « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ │░│
│░│ [Product Information] │░│
│░│ │░│
│░│ This book addresses the range image registration problem for │░│
│░│ automatic 3D model construction. The focus is on obtaining highly │░│
│░│ precise alignments between different view pairs of the same object │░│
│░│ to avoid 3D model distortions; in contrast to most prior work, the │░│
│░│ view pairs may exhibit relatively little overlap and need not be │░│
│░│ prealigned. To this end, a novel effective evaluation metric for │░│
│░│ registration, the Surface Interpenetration Measure (SIM) is │░│
│░│ defined. This measure quantifies the interleaving of two surfaces │░│
│░│ as their alignment is refined, putting the qualitative evaluation │░│
│░│ of "splotchiness," often used in reference to renderings of the │░│
│░│ aligned surfaces, onto a solid mathematical footing. The SIM is │░│
│░│ shown to be superior to mean squared error (i.e. more sensitive to │░│
│░│ fine scale changes) in controlling the final stages of the │░│
│░│ alignment process. The authors go on to combine the SIM with │░│
│░│ Genetic Algorithms (GAs) to develop a robust approach for range │░│
│░│ image registration. The results confirm that this technique │░│
│░│ achieves precise surface registration with no need for │░│
│░│ prealignment, as opposed to methods based on the Iterative Closest │░│
│░│ Point (ICP) algorithm, the most popular to date. Thorough │░│
│░│ experimental results including an extensive comparative study are │░│
│░│ presented and enhanced GA-based approaches to improve the │░│
│░│ registration still further are proposed. The authors also develop a │░│
│░│ global multiview registration technique using the GA-based │░│
│░│ approach. The results show considerable promise in terms of │░│
│░│ accuracy for 3D modeling. │░│
│░│ │░│
│░│ │░│
│░│ [Install Information] │░│
│░│ │░│
│░│ Unpack it ! │░│
│░│ │░│
│░│ [For more information] │░│
│░│ │░│
│░│ http://www.amazon.com/exec/obidos/tg/detail/-/9812561080/ │░│
│░│ │░│
┌─┴────────────────────────────────────────────────────────────────────────┴─┐
│■■ » CONTACT iNFORMATiON « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ │░│
│░│ Nothing but suppliers ATM! │░│
│░│ │░│
│░│ If you wish to contact us, you may email us at: │░│
│░│ Email: TeamDDU[at]hotmail[dot]com │░│
│░│ │░│
┌─┴────────────────────────────────────────────────────────────────────────┴─┐
│■■ TEAM DDU ( Day Day UP ) 2004 x!FEAR ■■│
└────────────────────────────────────────────────────────────────────────────┘