6533b829fe1ef96bd128a579
RESEARCH PRODUCT
Toward a real-time tracking of dense point-sampled geometry
Marc NeveuCéline RoudetAlbert DipandaFrançois Destellesubject
3D ProcessingComputer Vision[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Point cloudGeometry02 engineering and technologycomputer.software_genre030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineVoxel0202 electrical engineering electronic engineering information engineeringComputer visionPoint (geometry)MathematicsSequencebusiness.industryDiscrete space020207 software engineeringPoint set registrationVideo tracking[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Adjacency listArtificial intelligencebusinesscomputerdescription
4 pages; International audience; In this paper, we address the problem of tracking temporal deformations between two arbitrary densely sampled point-based surfaces. We propose an intuitive and efficient resolution to the point matching problem within two frames of a sequence. The proposed method utilizes two distinct space partition trees, one for each point cloud, which both are defined on a unique discrete space. Our method takes advantage of multi-resolution concerns, voxel adjacency relations, and a specific distance function. Experimental results obtained from both simulated and real reconstructed data sets demonstrate that the proposed method can handle efficiently the tracking process even for very large point clouds. Moreover, our method is easy to implement and very fast, which provides possibilities for real-time tracking applications.
year | journal | country | edition | language |
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2012-09-30 |