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Another couple of observations

Schwaller in his reflections noted that developing an easy way to calibrate the marker tracking was important. I've observed that for application development, providing alternate input methods is equally important...quick a general usability principle of course, and all harkens back to providing multiple redundant modalities but....


My framework is about 50% of the way there, I'm becoming VERY tempted to look at a native android client but on x86 since I have the horsepower to drive things. If I had more time I'd go for it but...

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More Observations

After this post I AM going to make videos ;) I spent some time doing some basic tests last night under non optimal (but good) conditions: 1) Double click/single click/long tap/short tap These all can be supported using in air interactions and pinch gestures. I'd estimate I had +90% accuracy in detection rate for everything apart from single click. Single click is harder to do since it can only be flagged after the delay for detecting a double click has expired and this leads to some lag in the responsiveness of the application. 2) The predator/planetary cursor design. In order to increase the stability of my primary marker when only looking at a single point e.g. when air drawing, I decided to modify my cursor design. I feel that both fiducial points should be visible to the user but it didn't quite "feel" right to me using either the upper or lower fiducial when concentrating on a single point hence I've introduced a mid-point cursor that is always 1/2 wa...
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Finally...

Children back at school and I'm back off my hols (a rather interesting time in Estonia if you're interested). I've spent most of the last week becoming increasingly frustrated with my attempts at image segmentation. I've moved to a c++ implementation for speed and, while the VERY simplistic HSV segmentation technique I am using works, the problem is that I cannot get it to work robustly and doubt that it will ever do such. I've now covered the range of available techniques and even tried to plumb the depths of just emerging ones and it seems that every computer vision based object tracking implementation or algorithm suffers for the same issue with robustness (openTLD, camshift, touchless, hsv segmentation and cvBlob etc etc). YES, it can be made to work, but issues include (depending on the algorithm) : - Object drift : over time the target marker will cease to be recognised and other objects will become the target focus. - Multiple objects : During segments...
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