Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow

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Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow

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where ∇It+1 is the image gradient at W(x; u). ∂W ∂u denotes the Jacobian of the warp. Writing the partial derivatives in ∂W ∂u with respect to a column vector as row vectors, this simply becomes the 2 × 2 identity matrix for the case of optical flow. There is a closed-form solution for parameter update ∆u using a least-squares formulation. Setting to zero the partial derivative of eq. (3) with ...

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ژورنال

عنوان ژورنال: SIAM Journal on Imaging Sciences

سال: 2011

ISSN: 1936-4954

DOI: 10.1137/100807405