I have to say, it was remarkably hard for me to figure out WHAT this was.
I couldn't easily find a simple introductory paragraph giving me the gist of what it was. Even after watching the video, I could not figure out what it is.
So here is what I imagined it to be:
Laser tag with camera equipped phones. You wear this coded tag which can be recognized from a decent variety of incidence angles. When you "fire", your camera takes a photo, the software identifies if the patch is within a certain zone and updates some central database with who got shot, how near the hot spot and the target gets points taken off. If you die, you get notified.
I would have gone with a color patch on a white t-shirt - more robust detection.
hi kghose! it's a multiplayer first person shooter in real life which works thanks to agumented reality. Thank you for your suggestion, we will try to make this more clear!
Every one got is own tag: and camera don't takes the photos, it's in real time in the video streaming :)
about color patch, no, it's not a more robust detection and can generate far more fake positive. It's one year we are working on it in six people, so we know a little about this stuff ;)
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[ 3.6 ms ] story [ 19.4 ms ] threadabout linkbait, what's wrong with linkbait?
I couldn't easily find a simple introductory paragraph giving me the gist of what it was. Even after watching the video, I could not figure out what it is.
So here is what I imagined it to be:
Laser tag with camera equipped phones. You wear this coded tag which can be recognized from a decent variety of incidence angles. When you "fire", your camera takes a photo, the software identifies if the patch is within a certain zone and updates some central database with who got shot, how near the hot spot and the target gets points taken off. If you die, you get notified.
I would have gone with a color patch on a white t-shirt - more robust detection.
Every one got is own tag: and camera don't takes the photos, it's in real time in the video streaming :)
about color patch, no, it's not a more robust detection and can generate far more fake positive. It's one year we are working on it in six people, so we know a little about this stuff ;)