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A Spatial-Based Approach for Groups of Objects

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Advances in Visual Computing (ISVC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7432))

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Abstract

We introduce a spatial-based feature approach to locating and recognizing objects in cases where several identical or similar objects are accumulated together. With respect to cognition, humans specify such cases with a group-based reference system, which can be considered as an extension of conventional notions of reference systems. On the other hand, a spatial-based feature is straightforward and distinctive, making it more suitable for object recognition tasks. We evaluate this approach by testing it on eight diverse object categories, and thereby provided comprehensive results. The performance exceeds the state of art by high accuracy, less attempts and fast running time.

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Author information

Authors and Affiliations

  1. Department of Information and Computer Science, Saitama University, 255 Shimo-okubo, Sakura-ku, Saitama, 338-8570, Japan

    Lu Cao, Yoshinori Kobayashi & Yoshinori Kuno

  2. Japan Science and Technology Agency (JST), PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama, 332-0012, Japan

    Yoshinori Kobayashi

Authors
  1. Lu Cao
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  2. Yoshinori Kobayashi
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  3. Yoshinori Kuno
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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, USA

    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,,, San Diego, 92093, 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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Cao, L., Kobayashi, Y., Kuno, Y. (2012). A Spatial-Based Approach for Groups of Objects. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33191-6_59

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  • DOI: https://doi.org/10.1007/978-3-642-33191-6_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33190-9

  • Online ISBN: 978-3-642-33191-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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