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    Retrieval of Objects Captured with Kinect One Camera

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    Date
    2015
    Author
    Pascoal, Pedro B.
    Proença, Pedro
    Gaspar, Filipe
    Dias, Miguel Sales
    Teixeira, Filipe
    Ferreira, Alfredo
    Seib, Viktor
    Link, Norman
    Paulus, Dietrich
    Tatsuma, Atsushi
    Aono, Masaki
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    Abstract
    Low-cost RGB-D sensing technology, such as the Microsoft Kinect, is gaining acceptance in the scientific community and even entering into our homes. This technology enables ordinary users to capture everyday object into digital 3D representations. Considering the image retrieval context, whereas the ability to digitalize photos led to a rapid increase of large collections of images, which in turn raised the need of efficient search and retrieval techniques. We believe the same is happening now for the 3D domain. Therefore, it is essential to identify which 3D shape descriptors, provide better matching and retrieval of such digitalized objects. In this paper, we start by presenting a collection of 3D objects acquired using the latest version of Microsoft Kinect, namely, Kinect One. This dataset, comprising 175 common household objects classified into 18 different classes, was then used for the SHape REtrieval Contest (SHREC). Two groups have submitted their 3D matching techniques, providing the rank list with top 10 results, using the complete set of 175 objects as queries.
    BibTeX
    @inproceedings {3dor.20151068,
    booktitle = {Eurographics Workshop on 3D Object Retrieval},
    editor = {I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp},
    title = {{Retrieval of Objects Captured with Kinect One Camera}},
    author = {Pascoal, Pedro B. and Proença, Pedro and Gaspar, Filipe and Dias, Miguel Sales and Teixeira, Filipe and Ferreira, Alfredo and Seib, Viktor and Link, Norman and Paulus, Dietrich and Tatsuma, Atsushi and Aono, Masaki},
    year = {2015},
    publisher = {The Eurographics Association},
    DOI = {10.2312/3dor.20151068}
    }
    URI
    http://dx.doi.org/10.2312/3dor.20151068
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    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA