Error analysis of 3-D motion estimation algorithms in the differential case

  • Authors:
  • Tao Xiang;Loong-Fah Cheong

  • Affiliations:
  • Department of Computer Science, Queen Mary, University of London;Department of Electrical & Computer Engineering, National University of Singapore

  • Venue:
  • CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
  • Year:
  • 2003

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Abstract

We put forth in this paper a geometrically motivated 3-D motion error analysis which is capable of supporting investigation of global effect such as inherent ambiguities. The error expression that we derive allows us to predict the exact conditions likely to cause ambiguities and how these ambiguities vary with motion types such as lateral or forward motion. Our formulation, though geometrically motivated, is employed to model the effect of noise.