Extended LBP Operator to Characterize Event-Address Representation Connectivity

  • Pablo NegriEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10125)


Address-Event Representation is a flowering technology that can change the visual perception of the computer vision world. This paper proposes a methodology to associate the input data from this kind of sensors. A new descriptor computed using an extended LBP operator seeks to characterize the connectivity of the asynchronous incoming events in a two dimensional space. Those features can be organized on histograms and combined with others descriptors, as histograms of oriented events. They can be the input of traditional classifiers to detect or recognize objects from the scene.


Local Binary Pattern Event Window Local Binary Pattern Operator Histogram Base Feature Local Binary Pattern Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was funded by PID Nro. P16T01 (UADE, Argentine).


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.CONICETBuenos AiresArgentine
  2. 2.Universidad Argentina de la Empresa (UADE)Buenos AiresArgentine

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