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I didn’t misunderstand what happened, and I know how the iPhone camera works. I was only noting a couple common cases where computational photography is really
by willseth 3y ago
I didn’t misunderstand what happened, and I know how the iPhone camera works. I was only noting a couple common cases where computational photography is really nice. I’m pretty picky about my photos and nothing I’ve shot with my iPhone has ever approached “lies”. I know those types of anomalies can happen, but they’re clearly design flaws, i.e. Apple doesn’t actually want their camera to make fantasy images. I don’t want that either.
- TeMPOraL 3y ago> I’m pretty picky about my photos and nothing I’ve shot with my iPhone has ever approached “lies”. That you know of. There could be many lies in those photos, both subtle and blunt, which you didn't notice at the moment because you weren't primed to look for them, and which you won't notice now, because you no longer remember the details of the scenes/situations being photographed, days or months ago. Are you sure I'm wrong? Are you sure that there are no hard lies in your photos? Would you be able to tell?
- kaba0 3y agoA blurry limb is just as much a lie.
- willseth 3y agoIf we’re going to be this pedantic about it: iPhone’s camera will not add or remove things that weren’t captured in its temporal window. It won’t change the semantic meaning of an image. It won’t make a sad face person look happy, make daytime look like nighttime, or change dogs into cats. It can make mistakes like from the OP, but the point is that Apple also sees this as a mistake, so I would expect the error rate to improve over time. This is a different approach from other computational photography apps, like Google’s, where it looks like they are more willing to push the boundaries into fantasy images. Apple’s approach seems to be more grounded, like they simply want to get great pro DSLR level images automatically.
- TeMPOraL 3y agoThat's fair. I assumed they're going for similar thing to what Google has been playing with at various points over the last decade, where they were willing to effectively synthesize a new image out of several input shots and a heap of assumptions.