Detection and Identification Techniques for Markers Used in Computer Vision

Authors Johannes Köhler, Alain Pagani, Didier Stricker

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Johannes Köhler
Alain Pagani
Didier Stricker

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Johannes Köhler, Alain Pagani, and Didier Stricker. Detection and Identification Techniques for Markers Used in Computer Vision. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 36-44, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


This paper summarizes and compares techniques for detecting and identifying markers in the context of computer vision. Existing approaches either use correlation, digital or topological methods for marker identification. The comparison points out, that all marker processing algorithms which employ sophisticated digital codes perform more robust and reliable. Existing bit representation schemes for these codes and marker designs are compared with each other. In the overall context it is illustrated, why the marker processing algorithm is the best performer regarding marker occlusion and minimal detectable pattern size.
  • Marker Identification
  • Computer Vision


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