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Unformatted text preview: 1.12373617 -1.98271593 6.30039232 3.47894293 -1.94090945 6.21814584 4.27922704 0.14943390 6.85474182 3.19881272 1.87947370 6.89033931 1.16129739 1.80832210 6.96153428 0.20419638 0.00713069 6.99713177 1.28461070 -1.72290911 6.96153428 3.30094143 -1.61783515 6.89103730 Parabolid dataset: 5 X Y X 10.7549729 -4.3454617 8.2149032 14.2103993 2.2483481 9.7528327 11.1360376 9.3199372 9.8043335 3.9625397 12.1460994 9.9286673 -3.0539469 9.0191427 10.0520745 -5.8585798 1.8980428 10.1031914 -2.8071326 -5.1208390 10.0520745 4.3128984 -7.9259367 9.9286673 11.3306955 -4.8740623 9.8052602 Statistical Modelling of Geometrical Invariant Sampled Sets P. Chiabert, M. De Maddis DISPEA – Politecnico di Torino, C.so Duca degli Abruzzi 24 – 10129 Torino (Italy) paolo.chiabert@polito.it Abstract: In 2001 Mario Costa proposed a methodology for the statistical identification of three dimensional shapes based on the synthesis of two mathematical tools: the classification of geometrical shapes according to their invariant propertie...
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This note was uploaded on 08/03/2010 for the course DD 1234 taught by Professor Zczxc during the Spring '10 term at Magnolia Bible.

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