A Fast Mle-based Method for Estimating the Fundamental Matrix

نویسندگان

  • W. Chojnacki
  • M. Brooks
  • A. van den Hengel
  • D. Gawley
چکیده

We present a novel method for estimating the fundamental matrix, a key problem arising in stereo vision. The method aims to minimise a cost function that is derived from maximum likelihood considerations. The respective minimiser turns out to be significantly more accurate than the familiar algebraic least squares technique. Furthermore, the method is identical in accuracy to a Levenberg-Marquardt minimiser, while proving simpler and faster.

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A fast MLE-based method for estimating the fundamental matrix - Image Processing, 2001. Proceedings. 2001 International Conference on

We present a novel method for estimating the fundamental matrix, a key problem arising in stereo vision. The method aims to minimise a cost function that is derived from maximum likelihood considerations. The respective minimiser turns out to be significantly more accurate than the familiar algebraic least squares technique. Furthermore, the method is identical in accuracy to a Levenberg-Marqua...

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تاریخ انتشار 2002