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Conference papers

Deformable Random Dot Markers

H. Uchiyama 1 E. Marchand 1 
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
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.
Keywords : Augmented Reality
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Submitted on : Wednesday, November 9, 2011 - 5:47:21 PM
Last modification on : Thursday, January 20, 2022 - 4:19:48 PM
Long-term archiving on: : Friday, February 10, 2012 - 2:37:27 AM


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  • HAL Id : hal-00639703, version 1


H. Uchiyama, E. Marchand. Deformable Random Dot Markers. IEEE Int. Symp. on Mixed and Augmented Reality, ISMAR'11, 2011, Basel, Switzeland, Switzerland. pp.237-238. ⟨hal-00639703⟩



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