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Protrusion Fields for 3D Model Search and Retrieval Based on Range Image Queries

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Book cover Advances in Visual Computing (ISVC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7431))

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Abstract

This paper presents a novel framework for 3D object search and retrieval based on a query-by-range-image approach. Initially, salient features are extracted for both the query range image and the 3D target model that is followed by the estimation of the protrusion field generated by the extracted salient points of the 3D objects. Then, based on the concept that for a 3D object and a corresponding query range image, there should be a virtual camera with such intrinsic and extrinsic parameters that would generate an optimum range image, in terms of minimizing an error function that takes into account the protrusion field of the objects, when compared to other parameter sets or other target 3D models, matching is performed via estimating dissimilarity within the protrusion field. Experimental results illustrate the efficiency of the proposed approach even in the presence of noise or occlusion.

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering Department, University of Patras, Greece

    Konstantinos Moustakas

  2. Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece

    Konstantinos Moustakas, G. Stavropoulos & Dimitrios Tzovaras

Authors
  1. Konstantinos Moustakas
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  2. G. Stavropoulos
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  3. Dimitrios Tzovaras
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, 94720, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, 89512, Reno, NV, USA

    Darko Koracin

  5. Department of Computer Science, University of California at Irvine, 92697-3435, Irvine, CA

    Charless Fowlkes

  6. Eastman Kodak Company, 14650-2102, Rochester, NY, USA

    Sen Wang

  7. Department of Computer Science and Engineering, University of Colorado at Denver, 80217, Denver, CO, USA

    Min-Hyung Choi

  8. VRVis Zentrum für Virtual Reality and Visualisierung, 1220, Vienna, Austria

    Stephan Mantler

  9. California Institute for Telecommunications and Information Technology, University of California, 92093, San Diego, La Jolla, CA, USA

    Jürgen Schulze

  10. KAUST Visualizatioin Core Lab., 23955-6900, Thurwal, Saudi Arabia

    Daniel Acevedo

  11. Stony Brook University, 11794-4400, NY, USA

    Klaus Mueller

  12. Argonne National Laboratory, 60439, IL, USA

    Michael Papka

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© 2012 Springer-Verlag Berlin Heidelberg

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Moustakas, K., Stavropoulos, G., Tzovaras, D. (2012). Protrusion Fields for 3D Model Search and Retrieval Based on Range Image Queries. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33179-4_58

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  • DOI: https://doi.org/10.1007/978-3-642-33179-4_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33178-7

  • Online ISBN: 978-3-642-33179-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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