some questions about kernel transform about airlab

[RobinSandkuehler]

Hi,

we used the transposed convolution in this way:

https://i.stack.imgur.com/f2RiP.gif

The stride is the distance between the control points (blue). We then use a kernel to interpolate the values between those control points to obtain a dense transformation by using the transposed convolution. I hope this could answer your question.

[cs123951]

@RobinSandkuehler
Thanks for your quick reply. I know the transposed convolution.
"We then use a kernel to interpolate the values between those control points to obtain a dense transformation by using the transposed convolution."
——we know that the displacement A is convolved with the kernel to get the control points C. And the control points C are changed into a displacement B using the transposed convolution. The issue is that displacement A does not equal to displacement B.

[RobinSandkuehler]

Hi,

the control points are the parameter that are optimized and not generated by a convolution with a displacement. The transposed convolution is used to generate the dense transformation field out of the control points. So we have only one direction C->B.

[cs123951]

@RobinSandkuehler Thank you again for your kind answers. I understand.