Fast, robust, and consistent camera motion estimation

Published

Journal Article

Previous algorithms that recover camera motion from image velocities suffer from both bias and excessive variance in the results. We propose a robust estimator of camera motion that is statistically consistent when image noise is isotropic. Consistency means that the estimated motion converges in probability to the true value as the number of image points increases. An algorithm based on reweighted Gauss-Newton iterations handles 100 velocity measurements in about 50 milliseconds on a workstation.

Duke Authors

Cited Authors

  • Zhang, T; Tomasi, C

Published Date

  • January 1, 1999

Published In

Volume / Issue

  • 1 /

Start / End Page

  • 164 - 170

International Standard Serial Number (ISSN)

  • 1063-6919

Citation Source

  • Scopus