this is for holding javascript data
Volker Strobel added Keypoints_of_the_current_image__.tex
almost 8 years ago
Commit id: 903eb6860b6a028f1bad66de7b6d923a172c54d4
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Keypoints of the current image and the map image are detected and
described using the SIFT algorithm. This is followed by a matching
process, that identifies corresponding keypoints between both
images. These matches allow for finding a homography between both
images. For determining the $x, y$-position of the current image, the
center of it is projected on the reference image using the homography
matrix. The pixel position of the center in the reference image can be
used to determine the real world position by transforming the pixel
coordinates to real-world coordinates, based on the scale factors
$C_x$ and $C_y$, with $C_x = \frac{width(R)}{width(I)}$ and
$C_y = \frac{height(R)}{height(I)}$, where $W$ is the real-world
representation and $I$ the digital pixel image. This yields a dataset
of images, labeled with $x, y$ coordinates and the number of
matches. This process already introduces noise into the dataset, since
SIFT can have wrong and inaccurate matches.
