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Robust shape reconstruction through optimal transportation
Post-edited
Authors : Alliez, Pierre (Author of the conference)
CIRM (Publisher )
65D17 - Computer aided design (modeling of curves and surfaces)
65D18 - Computer graphics, image analysis, and computational geometry
68Rxx - Discrete mathematics in relation to computer science
CIRM (Publisher )
Abstract :
I will describe a recent framework for robust shape reconstruction based on optimal transportation between measures, where the input measurements are seen as distribution of masses. In addition to robustness to defect-laden point sets (hampered with noise and outliers), this approach can reconstruct smooth closed shapes as well as piecewise smooth shapes with boundaries.
MSC Codes : 65D17 - Computer aided design (modeling of curves and surfaces)
65D18 - Computer graphics, image analysis, and computational geometry
68Rxx - Discrete mathematics in relation to computer science
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Information on the Video
Film maker : Hennenfent, GuillaumeLanguage : English Available date : 22/01/14 Conference Date : 19/11/2013 Subseries : Research talks arXiv category : Computer Science ; Numerical Analysis Mathematical Area(s) : Numerical Analysis & Scientific Computing ; Computer Science Format : QuickTime (.mov) Video Time : 00:42:34 Targeted Audience : Researchers Download : https://videos.cirm-math.fr/2013-11-19_Alliez.mp4 
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Information on the Event
Event Title : Discrete curvature : theory and applications / Courbure discrète : théorie et applicationsEvent Organizers : Najman, Laurent ; Romon, Pascal Dates : 18/11/13 - 22/11/13 Event Year : 2013 Event URL : http://www.laurentnajman.org/curvature/
Citation Data
DOI : 10.24350/CIRM.V.18441803Cite this video as: Alliez, Pierre (2013). Robust shape reconstruction through optimal transportation. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.18441803 URI : http://dx.doi.org/10.24350/CIRM.V.18441803 |
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