Interpolate input sparse matches
dense_flow = obj.interpolate(from_image, from_points, to_image, to_points)
Input
- from_image first of the two matched images, 8-bit
single-channel or three-channel.
- from_points points of the
from_image for which there are
correspondences in the to_image (a cell array of
2-element float vectors {[x,y],..}, size shouldn't
exceed 32767).
- to_image second of the two matched images, 8-bit
single-channel or three-channel.
- to_points points in the
to_image corresponding to
from_points (a cell array of 2-element float vectors
{[x,y],..}, size shouldn't exceed 32767).
Output
- dense_flow output dense matching (two-channel
single
image).