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Algorithm for analysing optical flow based on the least-squares method
Affiliation:1. Marconi Command and Control Systems Ltd, Frimley, Surrey, GU16 5PE, UK;2. Department of Computer Science, Birkbeck College, University of London, WC1E 7HX, UK;1. Institute of Ecosystem Studies, National Research Council (ISE-CNR), Via Moruzzi, 1 – 56124, Pisa, Italy;2. Institute of Agricultural Biology and Biotechnology, National Research Council (IBBA-CNR), Via Moruzzi, 1 – 56124, Pisa, Italy;3. Biophysics Institute, National Research Council (IBF-CNR), Via Moruzzi, 1 – 56124, Pisa, Italy;4. Chemistry Department, The University of Texas at El Paso, 500 West Univ. Av., El Paso, TX 79968, United States;5. Environmental Science and Engineering PhD Program, The University of Texas at El Paso, 500 W. University Ave., El Paso, TX 79968, United States;6. Center for Environmental Implications of Nanotechnology, The University of Texas at El Paso, 500 W. University Ave., El Paso, TX 79968, United States;1. KDI School of Public Policy and Management, Republic of Korea;2. SoDa Labs, Monash University, 900 Dandenong Rd, Building H, Room 4.54, Caulfield East, VIC 3145, Australia
Abstract:An algorithm for analysing the optical flow field due to a camera moving through a rigid environment is presented. It relies on a least-squares estimate of the errors associated with possible values for the translational velocity. If the surfaces in view are irregular then some of the parameters of the motion can be obtained more accurately than the others in the presence of noise.
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