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One approach that blew my mind was the use of FFT to recognize objects. FFT has this property that object orientation or location doesn't matter. As long as yo
by cyberax 1y ago
One approach that blew my mind was the use of FFT to recognize objects.
FFT has this property that object orientation or location doesn't matter. As long as you have the signature of an object, you can recognize it anywhere!
- changoplatanero 1y agoI believe orientation still matters but you’re right that position doesn’t.
- Legend2440 1y agoFFT is equivalent to convolution, which is widely used today for object recognition in CNNs.
- bobmcnamara 1y ago> FFT is equivalent to convolution What do you mean by that? Could you give me an example?
- kragen 1y agoThe FFT, composed with pointwise multiplication, composed with the inverse FFT, is equivalent to convolution. The FFT is not.
- timewizard 1y agoThe basic convolution theorem. https://en.wikipedia.org/wiki/Convolution_theorem https://en.wikipedia.org/wiki/Convolution_theorem
- bobmcnamara 1y agoThat is something else entirely.
- timewizard 1y agoThen if you know what the OP meant why did you ask?
- Grimblewald 1y agobecause they made a nonsensical claim that doesn't align with my (and likely their) understanding of what the FT is and does. The FT is _NOT_ just a convolution, but under certain conditions a specific operation on FT terms is equivalent to a convolution.
- bobmcnamara 1y agoI didn't know what they meant. There are so many FFT tricks. I was hoping this was another.