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A survey of methods for 3D model feature extraction

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Języki publikacji
EN
Abstrakty
EN
This paper deals with problems that are related to a feature extraction from 3D objects. The main aim of the feature extraction is to describe a shape of 3D object by a feature vector. Then the elements of this feature vector characterize the shape of the own 3D objects and they can serve as a key in searching for similar models. In this paper are introduced current methods for the feature extraction of 3D models and their classification. These methods are based on different mathematical background and according to that they are separated into several groups.
Twórcy
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  • University of West Bohemia, Department of Computer Science and Engineering, Univerzitni 22, 306 14 Plzen, CZECH REPUBLIC
autor
  • University of West Bohemia, Department of Computer Science and Engineering, Univerzitni 22, 306 14 Plzen, CZECH REPUBLIC
Bibliografia
  • [1] BOYER K. L., SRIKANTIAH R., FLYNN P. J.: Salience Sequential Surface Organization for Free-Form Object Recognition. Computer Vision and Image Understanding, Volume 88, Number 3, December 2002.
  • [2] CYR CH. M., KIMIA B. B.: 3D Object Recognition Using Shape Similarity Based Aspect Graph. International Conference on Computer Vision, 2001.
  • [3] FUNKHOUSER T., MIN P., KAZHDAN M., CHEN J., HALDERMAN A., DOBKIN D.: A Search Engine for 3D Models. ACM Transactions on Graphics, Volume 22, Issue 1, 2003, 83 – 105.
  • [4] HETZEL G., LEIBE B., LEVI P., SCHIELE B.: 3D Object Recognition from Range Images using Local Feature Histograms. IEEE International Conference on Computer Vision and Pattern Recognition, 2001.
  • [5] HILAGA M., SHINAGAWA Y., KOHMURA T., KUNII T. L.: Topology Matching for Fully Automatic Similarity Estimation of 3D shapes. SIGGRAPH 2001, 203-212.
  • [6] CHUANG J.-H., TSAI C.-H., KO, M.-C.: Skeletonization of Three-dimensional Object Using Generalized Potencial Field. IEEE Trans. PAMI, Vol. 22, 2000, 1241-1251.
  • [7] KAZHDAN M., CHAZELLE B., DOBKIN D., FINKELSTEIN A., FUNKHOUSER T.: A Reflective Symmetry Description. To appear in European Conf. on Computer Vision, 2002.
  • [8] KAZHDAN M., CHAZELLE B., DOBKIN D., FINKELSTEIN A., FUNKHOUSER T.: A Reflective Symmetry Description for 3D Models. To appear in Algorithmica, 2003.
  • [9] LÖFFLER J.: Content-based Retrieval of 3D models in Distributed Web Databases by Visual Shape Information. Int. Conf. on Information Visualisation, 2000.
  • [10]MIN P., CHEN J., FUNKHOUSER T.: A 2D Sketch Interface for a 3D Model Search Engine. SIGGRAPH 2002 Technical Sketches, July, 2002, p. 138.
  • [11]MOKHTARIAN F., KHALILI N., YUEN P.: Multi-scale free-form 3D object recognition using 3D models. Image and Vision Computing, 19: 2001, 271-281.
  • [12]NIBLACK W., BARBER R. and et al.: The QBIC project: Querying images by content using color, texture and shape. In Proc. SPIE Storage and Retrieval for image and Video databases, 1994.
  • [13]NOVOTNI M., KLEIN R.: A Geometric Approach to 3D Object Comparison. Int. Conf. on Shape Modeling and Applications (SMI 2001), 2001, 154-166.
  • [14]PENTLAND A., PICARD R. W., SCLAROFF S.: Photobook: Content-based manipulation of image databases. Int. J. Comput. Vis., 18(3), 1996, 233-254.
  • [15]QUEK K. H., YARGER R. W. I., KIRBAS C.: Surface Parameterization in Volumetric Images for Curvature-based Feature Classification. IEEE Transactions on Systems, Man and Cybernetics, 2001.
  • [16]RUI Y., HUANG S. T., CHANG S.: Image Retrieval: Current Technologies, Promising Directions and Open Issues. Journal of Visual Communication and Image Representation, 10(1), 1999, 39-32.
  • [17]SIDDIGI K., SHOKOUFANDEH A., DICKINSON S. J., ZUCKER S. W.: Shock graphs and shape matching. Int. J. Computer Vision, 1998, 222-229.
  • [18]TAMARA H., YOKOYA N.: Image database systems: A survey. Pattern Recognition, 17(1), 1984, 29-43.
  • [19]TANGELDER J. W. H., VELTKAMP R. C.: Polyhedral Model Retrieval Using Weighted Point Sets. International Journal of Image and Graphics, Vol. 3, No. 1: 209-229, 2003.
  • [20]YARGER R. W. I., QUEK K. H.: Surface Parameterization in Volumetric Images for Feature Classification. IEEE Inter. Symposium of Bio-Eng., BIBE 2000, 2000, 297-303.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-5214e2e3-a0b5-4245-8b27-528a9e7a05ae
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