Deformable Random Dot Markers
Abstract
We extend planar fiducial markers using random dots 8 to non- rigidly deformable markers. Because the recognition and tracking of random dot markers are based on keypoint matching, we can estimate the deformation of the markers with nonrigid surface de- tection from keypoint correspondences. First, the initial pose of the markers is computed from a homography with RANSAC as a planar detection. Second, deformations are estimated from the min- imization of a cost function for deformable surface fitting. We show augmentation results of 2D surface deformation recovery with sev- eral markers.
Domains
Robotics [cs.RO]
Origin : Files produced by the author(s)
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