I noticed when I grew a beard that Kinect stopped recognising me haha. I've had to reset the facial recognition 3 times already, but it still doesn't get it right.
I think the 1080P Color camera is what will give the Kinect the biggest advantage for facial recognition.
When choosing between cameras with the same sized sensor but differing pixel counts, the one with larger pixels (and fewer total pixels) will have better high ISO and low light performance (assuming read noise and fixed pattern noise are similar, which may not be the case), while the camera with more pixels can deliver images with finer detail in good light. You will need to decide where that trade point is.
I did the same during November, but looks like I had enough of a beard when I got the PS4, as to date it hasn't had any problems recognising me (except once in the dark).
More pixels don't always translate to better images.
http://www.clarkvision.com/articles/does.pixel.size.matter/
This!
The Depth camera is 512 x 424 & it's also used for the active IR mode. Even though it can see you in low light situations it's still better to have the lights on so that the HD RGB camera can see you.
First impressions of Kinect for Windows 2.0 pre-release
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1. AMD Gesture Control is designed to enable gesture recognition as a tool for controlling certain applications on your PC. Only available on select AMD A-Series APU-based tablets and notebooks. Requires a web camera, and will only operate on PCs running Windows 7 or Windows 8 operating system. Supported Windows desktop apps include: Windows Media Player, Windows Photo Viewer, Microsoft PowerPoint and Adobe Acrobat Reader. Supported Windows Store apps include: Microsoft Photos, Microsoft Music, Microsoft Reader and Kindle. Performance may be degraded in low lighting or intensely-focused lighting environments.
2. Testing performed by AMD performance labs measuring the accuracy in eyeSight’s Gesture Recognition Technology (optimized for and offered by AMD with certain AMD APUs under the name “AMD Gesture Control”) with and without the GPU-accelerated low light filters for a series of mouse control commands performed at a distance of 12 inches from the web camera on the test PC in a low light (~30 lux) environment. A notebook PC with upcoming AMD A10-5750M APU codenamed “Richland” with AMD Radeon™ HD 8650G, 4GB of DDR3-1600 (dual channel) RAM, Microsoft Windows 8 (64-bit) Build 9200, video driver 12.100.0.0 - 12/06/2012 without the low light filters achieved 17% accuracy on average compared to an average of 95% accuracy with the low light filters.
A notebook PC with Intel Core i5-3210 with Intel HD 4000 graphics, 4GB of DDR3-1333 (dual channel) RAM, Microsoft Windows 8 (64-bit) Build 9200, video driver 9.17.10.2875 - 10/17/2012 had 0% accuracy (gesture recognition did not work at all) without the low light filter technology. Furthermore, the low light filters would not run on Intel processors at the time of the test 1/4/2013. RIN-6 3. AMD Face Login is designed as a convenient tool to help you log into Windows and many popular websites quickly. It should not be used to protect your computer and personal information from unwanted access. Only available on select AMD A-Series APU-based tablets and notebooks. Requires a webcam, and will only operate on PCs running Windows 7 or Windows 8 operating system and Internet Explorer version 9 or 10. Internet connection is required for website login and use of other online features.
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Download our easy-to-use tool to confirm that your system can run AMD Face Login
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1. AMD Face Login is designed as a convenient tool to help you log into Windows and many popular websites quickly. It should not be used to protect your computer and personal information from unwanted access. Only available on select AMD A-Series APU-based tablets and notebooks. Requires a webcam, and will only operate on PCs running Windows 7 or Windows 8 operating system and Internet Explorer version 9 or 10. Internet connection is required for website login and use of other online features.
The resolution might not seem like a huge increase compared to Kinect1, but the depth map is of much higher res since they switched to tof instead of structured light.
Not all demos show, but the face almost seems recognizable even by looking directly at the depth buffer, and the active IR image should be even better for it.
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See what I mean by Microsoft not really showing what the hardware that went into Kinect 2.0 is enabling beyond the fact that they have more processing power in the Xbox One now compared to Xbox 360.Performance may be degraded in low lighting or intensely-focused lighting environments.
Performance may be degraded in low lighting or intensely-focused lighting environments.
I skimmed what you posted but it's all talk of pc, so presumably the webcam is just a foot or so from the users face which implies the users face taking up most of the fov. Have they shown all that working from 10 feet away when the users face and gestures occupy single digit percentage of what the sensor has captured? Also right in the text you quoted is:
Seems like limited usefulness in the real world no?
Watch the video.I skimmed what you posted but it's all talk of pc, so presumably the webcam is just a foot or so from the users face which implies the users face taking up most of the fov.
Now imagine the demo guy was black. Would the hand tracking really work against his dark suit? I also doubt their claims about it working in low light. If they have a high enough framerate+resolution sensor then it can as they can solve noise issues (but they're just using whatever webcam the user has), but every claim of low light performance in a camera device has been bunk for the past ten years IMO. 50% accuracy at low light may be good in computing terms but it's lousy for end users and would generally be considered broken. Their example is 12" from the webcam giving 95% accuracy which isn't comparable to a console experience.AMD is making Gesture control & facial recognition available for people with compatible AMD APU's that will work with your normal webcams even in low light.
See what I mean by Microsoft not really showing what the hardware that went into Kinect 2.0 is enabling beyond the fact that they have more processing power in the Xbox One now compared to Xbox 360.
Now imagine the demo guy was black. Would the hand tracking really work against his dark suit? I also doubt their claims about it working in low light. If they have a high enough framerate+resolution sensor then it can as they can solve noise issues (but they're just using whatever webcam the user has), but every claim of low light performance in a camera device has been bunk for the past ten years IMO. 50% accuracy at low light may be good in computing terms but it's lousy for end users and would generally be considered broken. Their example is 12" from the webcam giving 95% accuracy which isn't comparable to a console experience.
If someone wants to run the PC apps and report on how well they do, and prove that camera vision can achieve the claims in a wide variety of test cases, then I'll be happy to be proven wrong. Until then, AMD will be showing the best of their offering and the real results will be somewhat less. How much less, and whether it really can go toe-to-toe with K2 in terms of accuracy and speed, is the key question.
Watch the video.
It doesn't, and I never said it did. What's shown isn't at all comparable IMO and I doubt it will be. However, I only said, "Watch the vid," because you assumed it's working at laptop-type distances. If you watch the vid, you wouldn't say that - it's working with its moderate tracking at full TV distance with at least enough accuracy to get some finger-pressing UI interaction.I don't see how this video demonstrates this as being even remotely a challenge to what kinect can do.
It doesn't, and I never said it did. What's shown isn't at all comparable IMO and I doubt it will be. However, I only said, "Watch the vid," because you assumed it's working at laptop-type distances. If you watch the vid, you wouldn't say that - it's working with its moderate tracking at full TV distance with at least enough accuracy to get some finger-pressing UI interaction.