Tuesday, January 18th, 2011, 10:32 pm
Challenging Task: One-point Tracking Without Localised Vicinity
HE previous post about validation with rotation put focus on large regions outside the heart, where there was greater separation between landmark points. In this case, initially I tested a general case where 120 points were put around a circular area in and outside the heart, showing more or less what got detected as the expected translation at each frame. I look at only one point at a time here, on purpose — meaning that for each point only its neighbours in the next frame are being compared and there is room for improvement if the whole spacial patch (e.g. 3×3 window) gets used in the current frame. This simplification was intentional here.
At the end, 1,500 randomly distributed points were put on the image to generally show what was achieved by tracking just one point at the time.