i just saw this video of a software called junaio allowing indoor navigation based on a combination of image recognition (marker based) and orientation. i'll try to get some more information, but for the moment have a look at the dome video from the mobile world congress in barcelona.
Monday, February 21, 2011
Tuesday, February 1, 2011
current methods of augmented reality - geo tags vs. trackables (part2)
hi,
following my previous post this time i will write about the second widely used method to generate augmented reality. in this case this is done using so called trackables. this is also the method i used in my sample videos [1, 2] so far.
the general idea behind is the following. you take a 2d image with a lot of contrast points and preferably sharp edges between the elements on the picture. you can take basically any picture but the results might be not so good if you don't follow these rules. next you have to establish a spatial correlation between this trackable and the 3d model you want to show in your augmented reality application.
as i'm no mathematician or computer scientist i can't provide you with in depth information on how the tracking is exactly done but i will try to update my link collection as soon as i find some time. just about the basic principle. the application with the predefined trackable, the 3d model and the spatial relation uses the camera to get information about the surrounding. within the camera view the app uses algorithms to search for patterns of contrast that can also be found on the trackable. this is done in order to generate the correct 2d representation of the 3d model and to place it at the right position of the screen. as this happens each frame the viewer gets the impression of real time motion according to the motion of the device around the trackable.
to get a better impression how it works just have a look at my previously mentioned videos. as i'm still working a lot on that topic be sure that further clips will follow.
current methods of augmented reality (part1)
the general idea behind is the following. you take a 2d image with a lot of contrast points and preferably sharp edges between the elements on the picture. you can take basically any picture but the results might be not so good if you don't follow these rules. next you have to establish a spatial correlation between this trackable and the 3d model you want to show in your augmented reality application.
as i'm no mathematician or computer scientist i can't provide you with in depth information on how the tracking is exactly done but i will try to update my link collection as soon as i find some time. just about the basic principle. the application with the predefined trackable, the 3d model and the spatial relation uses the camera to get information about the surrounding. within the camera view the app uses algorithms to search for patterns of contrast that can also be found on the trackable. this is done in order to generate the correct 2d representation of the 3d model and to place it at the right position of the screen. as this happens each frame the viewer gets the impression of real time motion according to the motion of the device around the trackable.
to get a better impression how it works just have a look at my previously mentioned videos. as i'm still working a lot on that topic be sure that further clips will follow.
current methods of augmented reality (part1)
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