A frequency domain performance analysis of Horn and Schunck's optical flow algorithm for deformable motion
- 1 January 1995
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 4 (9) , 1324-1327
- https://doi.org/10.1109/83.413178
Abstract
A frequency domain performance analysis of Horn and Schunck's (1981) optical flow (HSOF) algorithm for estimation of deformable motion is presented. Noise sources in the algorithm are modeled using the discrete Fourier transform of the brightness pattern. This noise model along with the estimation error covariance function derived in previous work is used to derive an expression for the expected performance of the optical flow estimate that is valid for an arbitrary discrete brightness pattern. Simulation results are presented that demonstrate the validity of our methods and show that HSOF is more accurate that the optical flow estimate of Anandan for certain low-frequency patternsKeywords
This publication has 6 references indexed in Scilit:
- Optimal brightness functions for optical flow estimation of deformable motionIEEE Transactions on Image Processing, 1994
- Performance of optical flow techniquesInternational Journal of Computer Vision, 1994
- Motion estimation from tagged MR image sequencesIEEE Transactions on Medical Imaging, 1992
- A computational framework and an algorithm for the measurement of visual motionInternational Journal of Computer Vision, 1989
- Human heart: tagging with MR imaging--a method for noninvasive assessment of myocardial motion.Radiology, 1988
- Determining optical flowArtificial Intelligence, 1981