• DocumentCode
    2428166
  • Title

    On the Affinity between 3D Detectors and Descriptors

  • Author

    Salti, Samuele ; Petrelli, Alioscia ; Tombari, Federico ; Stefano, Luigi Di

  • Author_Institution
    Comput. Vision Lab., Univ. of Bologna, Bologna, Italy
  • fYear
    2012
  • fDate
    13-15 Oct. 2012
  • Firstpage
    424
  • Lastpage
    431
  • Abstract
    The literature on local invariant 3D features is growing, also fostered by the advent of cheap off-the-shelf 3D sensors. Although several recent proposals in the field include both a detector and a descriptor, some of the most successful and used descriptors do not define a companion detector. Moreover, as vouched by the related field of image features, detectors and descriptors defined within the same proposal do not necessarily yield the highest performance when used together. Hence, in this work we investigate on the effectiveness of the many possible combinations between state-of-the-art 3D detectors and descriptors, so as to identify optimal pairs as well as highlight well-matched detectors for those descriptors lacking a companion feature detection algorithm.
  • Keywords
    computer graphics; image processing; object detection; 3D descriptors; 3D detectors; 3D sensors; companion detector; image features; local invariant 3D features; Detectors; Feature extraction; Histograms; Object recognition; Proposals; Robustness; Shape; 3D descriptor; 3D detector; performance evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4673-4470-8
  • Type

    conf

  • DOI
    10.1109/3DIMPVT.2012.10
  • Filename
    6375024