Multiple instances object detection

ABSTRACT

Since the beginning of the new century the growing popularity of markerless augmented reality (AR) applications inspired the research in the area of object instance detection, registration and tracking. The usage of common daily objects or specially developed fliers or magazines (e.g. IKEA) as AR markers became more popular than traditional ARtoolkit-like black/white patterns. Although there are many different methods for object instance detection emerging every year, very little attention is paid to the case where multiple instances of the same object are present in the scene and need to be augmented (e.g. a table full of fliers, several exemplars of historical coins in the museum, etc.). In this paper we review existing methods of multiple instance detection and propose a new method for grayscale images overcoming the limitations of previous methods.

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Index Terms

• Computing methodologies

  • Artificial intelligence

    • Computer vision

      • Computer vision problems

        • Image segmentation

        • Video segmentation