Planar surface detection in image pairs using homographic constraints

  • Authors:
  • Qiang He;Chee-hung Henry Chu

  • Affiliations:
  • Center for Advanced Computer Studies, The University of Louisiana at Lafayette, Lafayette, LA;Center for Advanced Computer Studies, The University of Louisiana at Lafayette, Lafayette, LA

  • Venue:
  • ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
  • Year:
  • 2006

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Abstract

Planar surfaces are important characteristics in man-made environments and have been successfully applied to camera calibration and interactive modeling. We develop a method for detecting planes in image pairs under epipolar constraints using planar homographies. In order to extract the whole planes, the normalized cut method is used to segment the original images. We pick those segmented regions that best fit a triangulation of the homography inliers as the detected planes. We illustrate the algorithm’s performance using gray-level and color image pairs.