Posted on 03/31/2017 7:54:48 AM PDT by deplorableindc
I don’t believe it makes a difference with facial expression or hairstyle...or even facial hair.
As for the fingerprint, mine works +99% of the time. It is pretty accurate.
I don’t think they actually take fingerprints on paper with ink anymore. Last few times I did it, they used a machine where you put your fingers on a glass surface and it gets them all at once.
Accurate, too.
#13 I have had a set of CAR KEYS in my desk drawer for over a month.
If you go out in the parking lot and press the button on the key fob you will be able to keep any car that has it’s lights blink on and off. It’s the law I think.
Good point about rotating the picture about the vertical and horizontal axis. Likewise with the z axis (zoom). That way, it would be normalized and a good comparison with a recorded image.
Wonder if there is a way to determine the x-y-z orientation of the face and then instantly adjust it vs trial and error and the many permutations of x-y-z which would take time.
Also, the trick would be to make the scan and analysis accurate enough but not too accurate. Too much precision would cause unnecessary failures because of the many variables. And a lot less precision means that a match might be easier to achieve but then it would give false matches. It is an art.
All of this would require horsepower.
I agree....just a thought....
A camera cannot take a 3D image (that I know of) though two or more cameras (or one taking multiples and moving) can produces stereoscopic images.
When it boils down, it is still doing the analysis on a 2D image (that I know of)
And for horsepower...I don’t think modern devices have an issue at all with running the necessary algorithms quickly.
That might be photoshopped. Not entirely sure, but I don’t think the horse’s tail are like that. And the the 2 front foot are clearly retouched to match the plane of focus. I think they are trying to add some scratches to hide the absurd cropping and compositing. Just a hunch.
No thanks. Big brother has enough already..I don’t need them having a retinal scan, etc.
However, this might be done by ratios — spacing between the eye centers and other positions on the face. Rotation between the y axis and the x axis would make picture asymmetrical and would have be adjusted. It would be a 3d problem in a 2d space. Also, this presumes that the reference image was taken in a standardized way.
As for horsepower, my phone does a pretty good job of voice recognition however it needs access to the Internet — presume that there is some kind of look up table that matches to the phoneme. So maybe the computing and look up is done remotely somewhere?
It is interesting how far we have come. When voice recognition became available to consumers back in the Nineties, I was right on it. I have since come to regard it quite differently, not in necessarily a bad way, just realistic.
Using voice control or dictation is impractical in so many situations that it often can’t be used (such as sitting next to someone on an airplane)
But I work professionally in a field where I configure, maintain, and troubleshoot speech recognition systems for a large entity, and this is my third different one in about 15 years.
Now, you can pick up the microphone and speak, and...it recognizes you with zero training other than calibrating the microphone sound level, as long as you stick to the specialized area of dictation. I think it is quite remarkable. I use Siri, and I can dictate notes with a high degree of accuracy, but probably because I am so used to dictating to machines that I kind of know how they want to hear it, and just unconsciously adjust to that. So I am not a good example of how it works in general.
As for facial recognition, so many image archiving programs do it pretty well, it makes me wonder what the big boys have.
I thought Samsung themselves stated that the facial recognition was not secure.
Back in the early 90s, I dug into it a little but never got very far with it.
About sound: there may be some filtering and signal analysis and processing necessary — for example, as you mention about background noise on an airplane, white noise can raise the noise floor and reduce the SNR. There might be techniques for improving the SNR although white noise is random. And then there is the frequency component. I considered doing an FFT. All of this takes computer horsepower to do it real time.
I think that I over-analyzed it and got bogged down in the details and that is why I never got that far with it. But it was fun. :)
Agreed: the technology has come very far.
Seems like facial recognition would be easier.
Ping for the Android List’s interest. Samsung’s much ballyhooed facial recognition unlocking can be fooled by a photo. Oops!
Now that would be funny!
LOL, the issue with doing speech recognition on a plane isn’t the background noise (I wasn’t clear) it is that the human sitting next to you may want to commit homicide by the time the journey ends!
You can adjust somewhat for the background noise by calibrating the mike, filtering in the software, and also using a headset with a microphone that only picks up close sound within a few inches.
I would not want such a feature enabled on my phone. Especially if it had any important private information inside (account numbers, passwords, etc.).
Nah, General Grant wrote often about calling in for airstrikes, and his horse visited a boutique to have its hooves done...
Fun topic.
Interesting that a human can do it. I was in a loud restaurant the other day and was still able to communicate. Could be due to grammar and sentence flow? And focus/tuning and filtering that happens in the brain. Each language is different in structure too - verb vs noun, etc. Higher level processing.
Still SIRI does a pretty good job. :)
“Nah, General Grant wrote often about calling in for airstrikes, and his horse visited a boutique to have its hooves done...”
Never say never, but that picture looks a bit off. May be the field of view is just strange. It could entirely be the natural effect of those large format cameras from those era. Not sure.
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