Deformable random dot markers

Hideaki Uchiyama, Eric Marchand

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

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 detection 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 minimization of a cost function for deformable surface fitting. We show augmentation results of 2D surface deformation recovery with several markers.

Original languageEnglish
Title of host publication2011 10th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2011
Pages237-238
Number of pages2
DOIs
Publication statusPublished - 2011
Event2011 10th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2011 - Basel, Switzerland
Duration: Oct 26 2011Oct 29 2011

Publication series

Name2011 10th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2011

Other

Other2011 10th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2011
CountrySwitzerland
CityBasel
Period10/26/1110/29/11

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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