Two-Stage Robust Optical Flow Estimation

نویسندگان

  • Ming Ye
  • Robert M. Haralick
چکیده

We formulate optical flow estimation as a two-stage regression problem. Based on characteristics of these two regression models and conclusions on modern regression methods, we choose a Least Trimmed Squares followed by weighted Least Squares estimator to solve the optical flow constraint (OFC); and at places where this one-stage robust method fails due to poor derivative quality, we use a Least Trimmed Squares estimator to robustify the facet model fit-

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تاریخ انتشار 2000