Re:A reality bending mistake in Apple's computational photog...
by TeMPOraL on Friday December 01, 2023 @04:02AM
(#38484707)
> There is simply no single one reality, only our perceived realities.
This does not follow at all from your earlier paragraph.
The reality we're talking about here, which regular photography reflects while computational one doesn't, is the correlation of recorded data with the state of the world. The pixels of a regular photo are highly correlated with reality - they may have been subject to some analog and digital transformation, and of course quantization, but there's a straightforward and reversible (with some loss of fidelity) function mapping pixels to the photographed event. Computational photography, in contrast, decorrelates pixels from reality, and discards source measurements, leaving you with a recording of something that never happened, but is sort of similar to the thing that did.
I elaborated on this elsewhere in the thread, so let me instead point at another way of noticing the difference. Photogrammetry is the science and technology of recovering the information about reality from photos, and it works because pixels of regular photos are highly correlated with reality. Apply the same techniques to images made via computational photography, and the degree of uncertainty and fidelity loss will reflect the degree to which the computational photos are AI interpretations/bullshit.
This does not follow at all from your earlier paragraph.
The reality we're talking about here, which regular photography reflects while computational one doesn't, is the correlation of recorded data with the state of the world. The pixels of a regular photo are highly correlated with reality - they may have been subject to some analog and digital transformation, and of course quantization, but there's a straightforward and reversible (with some loss of fidelity) function mapping pixels to the photographed event. Computational photography, in contrast, decorrelates pixels from reality, and discards source measurements, leaving you with a recording of something that never happened, but is sort of similar to the thing that did.
I elaborated on this elsewhere in the thread, so let me instead point at another way of noticing the difference. Photogrammetry is the science and technology of recovering the information about reality from photos, and it works because pixels of regular photos are highly correlated with reality. Apply the same techniques to images made via computational photography, and the degree of uncertainty and fidelity loss will reflect the degree to which the computational photos are AI interpretations/bullshit.