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Editorial Team
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Asked: 2026-05-13T13:45:31+00:00

I hope this falls within the programming question category. Im all lightheaded from Googling

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I hope this falls within the “programming question” category.
Im all lightheaded from Googling (and reading every post in here on the subject) on the subject “Computer Vision”, but Im getting more confused than enlightened.

I have 6 abstract shapes printed on a piece of paper and I would like to have the camera on the iPhone identify these shapes (from different angles, lightning etc.).

I have used OpenCV a while back(Java) and I looked at other libraries out there. The caveat is that it seems that either they rely on a jail broken iPhone or they are so experimental and hard to use that I would probably end up using days learning libraries only to figure out they didn’t work.

I have thought of taking +1000 images of my shapes and training a Haar filter. But again
if there is anything out there that is a bit easier to work with I would really appreciate the advise, suggestion of people with a bit of experience.

Thank you for any suggestion or pieces of advise you might have:)

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1 Answer

  1. Editorial Team

    Have a look at at OpenCV’s SURF feature extraction (they also have a demo which uses it to detect objects).
    Surf features are salient image features which are invariant to rotation and scale. Many algorithms detect objects by extracting such features from an image, and then use simple “bag of words” classification (comparing the set of extracted image features to the features of your “shapes”. Even without referring to their spacial alignment you can have good detection rates if you only have 6 shapes).

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