[Greg McKaskle]

There are corner detection algorithms in NI Vision, and they are pretty standard implementations, but I've never found them to be a robust approach.

The corner detector needs to look further away than just adjacent pixels, or sensor noise and small tape edge issues will cause lots of small "corners" that we don't care about. The NI algorithm has a parameter called pyramid level that determines what scale of feature you care about. I believe higher level looked for bigger/coarse features.

The kids I mentor are also trying really hard to use corners, but they just seem more flaky to use as a primary identifier. My 2cents.

Greg McKaskle