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3D Classification Via Structural Prototypes

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Semantic Multimedia (SAMT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4816))

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Abstract

We describe a 3D shape classification framework, and discuss the performance of selective and creative prototypes extracted from structural descriptors.

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References

  1. Marini, S., Spagnuolo, M., Falcidieno, B.: Structural shape prototypes for the automatic classification of 3D objects. Computer Graphics and Applications 27 (2007)

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  2. Pekalska, E., Duin, R.P.W., Paclik, P.: Prototype selection for dissimilarity-based classifiers. Pattern Recognition 39, 189–208 (2006)

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  3. Biasotti, S., Marini, S., Spagnuolo, M., Falcidieno, B.: Sub-part correspondence by structural descriptors of 3D shapes. Computer-Aided Design 38, 1002–1019 (2006)

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Bianca Falcidieno Michela Spagnuolo Yannis Avrithis Ioannis Kompatsiaris Paul Buitelaar

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© 2007 Springer-Verlag Berlin Heidelberg

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Biasotti, S., Giorgi, D., Marini, S., Spagnuolo, M., Falcidieno, B. (2007). 3D Classification Via Structural Prototypes. In: Falcidieno, B., Spagnuolo, M., Avrithis, Y., Kompatsiaris, I., Buitelaar, P. (eds) Semantic Multimedia. SAMT 2007. Lecture Notes in Computer Science, vol 4816. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77051-0_16

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  • DOI: https://doi.org/10.1007/978-3-540-77051-0_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77033-6

  • Online ISBN: 978-3-540-77051-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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