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How do I identify matching objects in a pair of stereo images?


How do I identify matching objects in a pair of stereo images?


Left and Right images

So, for instance, I have a pair of stereo images (as an example,
here I have duplicated the photo to represent left and right
images) of certain objects (in this case dogs and cats). I want to
match the dogs in the 2 images, i.e the network should identify
that if there’s a ‘Dog 1’ in the left image, then which dog in the
right image is the corresponding match for ‘Dog 1’. And similarly
for other objects as well.

I can perform instance segmentation on the images and get the
object boundaries and the masks for both left and right images, but
how do match the objects in the stereo image pair?

I was thinking of using Siamese Networks to get a similarity
score, but pretty clueless on how to proceed with that.

Any help would be great! TIA!

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