Linear clutter removal from urban panoramas

  • Authors:

  • Mahsa Kamali;Eyal Ofek;Forrest Iandola;Ido Omer;John C. Hart

  • Affiliations:

  • University of Illinois at Urbana Champaign;Microsoft Research;University of Illinois at Urbana Champaign;Microsoft Research;University of Illinois at Urbana Champaign

  • Venue:
  • ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
  • Year:
  • 2011

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Abstract

Panoramic images capture cityscapes of dense urban structures by mapping multiple images from different viewpoints into a single composite image. Once challenge to their construction is that objects that lie at different depth are often not stitched correctly in the panorama. The problem is especially troublesome for objects occupying large horizontal spans, such as telephone wires, crossing multiple photos in the stitching process. Thin lines, such as power lines, are common in urban scenes but are usually not panoramas of urban environments often include "dented" or "broken" wires. This paper presents an automatic scheme for detecting and removing such thin linear structure from panoramic images. Our results show significant visual clutter reduction from municipal imagery while keeping the original structure of the scene and visual perception of the imagery intact.