Comments (2)
Hi. Note that W is the convolution matrix corresponding to the convolution kernel w. The kernel w itself is 3x7 as you say. But W is the matrix corresponding to the linear operation of convolving the input with w. See our SRDCF paper for more details.
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Thank your!
My understanding is that because circular convolution matrix C(hat(w)) in equation (6) of SRDCF paper is MNxMN corresponds to the Toeplitz matrix, the dimension of DFT(hat(w)) is MN, as the below equation shows,
I think that is ok.
And when I focus on the regularization term in equation (7) in CCOT,
you use the convolution kernel w to construct the convolution matrix Wd, and here Wd should also be a circular convolution matrix, if there has L non-zero number elements in it, I'm confused with the computation of its size: (2Kd+2L+1)X(2Kd+1).
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