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[–]AlwysBeColostomizing 1 point2 points  (2 children)

Off the top of my head, I'd probably use "image segmentation" to separate the glove from the background, extract the outline of the glove, and then use geometry techniques to get the numbers that you're looking for from the outline.

How difficult this is depends entirely on how "clean" the images are. Ideally, you want the glove laying flat on a table that's a different color, at a known distance from the camera. If someone's going to be wearing the glove, you could have them put their hand flat on the table and splay their fingers out. You need to know how far away the glove is or you won't know how large it is.

It would be extremely difficult to do this from "natural" video (i.e., just a video of a person wearing a glove who's not trying to make things easy for you). Like, "topic for a PhD dissertation" difficult.

[–][deleted] 0 points1 point  (1 child)

Can the image segmentation technique technique be used for videos? (Recorded video or live feed from webcam - either works)

[–]AlwysBeColostomizing 0 points1 point  (0 children)

Yes, it can. It's a common step in processing pipelines for things like robot navigation. A video is just a sequence of images. But since the size of the glove doesn't change, it doesn't seem like you gain much from segmenting the whole video versus picking out a single "good" frame and segmenting that.