Match Look and Black skin tones, corporate headshot setups.
Editing a series of corporate headshots and utilizing Match Look. Shoot for this company at least once a year, same lighting setup, and same basic processing, so good test for Match Look. Results are generally pretty good for Caucasian skin tones, though there are a couple of individual shots where I have no idea quite what's happening as Match Look throws a heavy yellow color tone on single images for no reason I can fathom (corporate portrait headshots, so generally pretty neutral). But the Black skin tones. Not good. I know a lot of photographers and AI have an issue with representing Black skin tones, but pretty poor results, especially in the tint (green/magenta) and contrast which was increased to create deep shadows and overly bright highlights. Even the subject's black hair has been tinted with strong blues in the highlights. With the way Match Look works, with all selections checked, utilizing White Balance, Curves, Color Balance and Color Editor for color plus all the other tools for tone and contrast, trying to "fix" the Match Look is more time-consuming than doing a new treatment on these images from scratch myself.
Would love to hear what results others are having with Match Look, especially in these setups with consistent lighting. Are you selecting all of Normalize, Light & Contrast, Color Adjust, Color Tone to be on, or are you finding better results with some off? With corporate headshots, it's purely a "get the job done and get paid" type of shoot, so very much hoping I can get Match Look to work for me. I did try Aftershoot (an AI culling and editing software), but don't like its culling and its C1 integration is not ideal (their market is more wedding and consumer portrait photographers using Lightroom), but its color edits were actually better and more accurate than I'm finding Color Match to be.
Thanks!
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Just musing about how this might work, and how it might not. And I'm no expert on this feature.
But I suppose that part of the trouble may be that Match Look isn't particularly looking at skin tones, it's looking at the whole look and feel of the image. So that would be affected by things like the colour of the clothing that the person was wearing to the extent that their clothes are visible in a head shot, the colour of their hair, and so on. Clearly in a headshot, though, skin tones make up a fairly large proportion of the look and feel. With different skin colours, that might actually create some of the problem. If you have some people with lighter skin and some with darker skin, might Match Look actually do the wrong thing by trying to make them look the same? Perhaps trying to get the same look and feel for two completely different looking people is actually the opposite of what you need to achieve?
I wonder whether it's worth considering the Smart Adjustments tool for this kind of situation. It only adjusts white balance and exposure. Alternatively, is it worth experimenting with turning off some of the things that Match Look uses. For instance what if you uncheck Normalise, but leave Color Adjust turned on, or vice versa?
No real solutions - just some thoughts about what it might be good for, and what it might not be.
Ian
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I think as others have said, it's an interesting feature, but maybe not really ready for prime time. Especially not when you're talking about what most of us consider C1 to be for, which is commercial, high-end photography with an emphasis on the very best skin tones.
Maybe Match Look is more on the "filter" side of the color treatment scale of adjustments. I would hope not because that's not really where Capture One brand should be. Maybe the company needs to look at using AI to help us create more custom styles or profiles from our own work, from adjustments we've made over the years of using C1. I love doing creative work where I can make custom adjustments for a particular project, but with client demands for large amounts of content delivered almost instantaneously, I can't always do that. The hype around Match Look made it seem like it could be a solution for "bread and butter" jobs, but I don't feel its current iteration is anywhere near that. Or maybe I'm mistaken about its intended use?
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