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I wonder if the "deep learning" is getting any hints from the bayer patterns that may be detectable even in the desaturated image. It would be interesting to se
by CrowFly 11y ago
I wonder if the "deep learning" is getting any hints from the bayer patterns that may be detectable even in the desaturated image. It would be interesting to see what it did from a true b/w sensor, a Fovean sensor, or a scan of black and white films.
On a related "deep learning" topic:
We do a lot of work with 3D modeling tools and scanning large objects, including people, at our facility.
One thing we realized that should be possible with "deep learning" is taking a standard human computer model, and configuring it to match the position and shape of a scanned human model, or a photo of a human being -- in order to add back missing bits. Imagine a website where you can upload a swimsuit image and get back a computer generated nude image with the obscured body parts replaced. This should be very doable today, and would make a very popular website!
- 6502nerdface 11y agoThis reminds me of a guy I interviewed recently who's been working at a startup that creates detailed, 3D, biomechanically accurate models of women's breasts, and associated UI, for use by plastic surgeons to show clients what they could look like after different procedures, based on scans of their bodies.
- Roodgorf 11y agoNot to critique the legitimacy of the work your interviewee, but I can't imagine another time this would be relevant on HN. http://www.smbc-comics.com/index.php?id=3971 http://www.smbc-comics.com/index.php?id=3971
- semi-extrinsic 11y ago> I wonder if the "deep learning" is getting any hints from the bayer patterns that may be detectable even in the desaturated image. I'd say it's highly unlikely, since these images are downsampled to 224x224 pixels. That would average out any residual Bayer pattern (which is pretty hard to detect in the first place).