Temporal Upsampling of Point Cloud Sequences by Optimal Transport for Plant Growth Visualization

Simple item page
dc.contributor.authorGolla, Timen_US
dc.contributor.authorKneiphof, Tomen_US
dc.contributor.authorKuhlmann, Heineren_US
dc.contributor.authorWeinmann, Michaelen_US
dc.contributor.authorKlein, Reinharden_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2020-10-06T16:54:00Z
dc.date.available2020-10-06T16:54:00Z
dc.date.issued2020
dc.description.abstractPlant growth visualization from a series of 3D scanner measurements is a challenging task. Time intervals between successive measurements are typically too large to allow a smooth animation of the growth process. Therefore, obtaining a smooth animation of the plant growth process requires a temporal upsampling of the point cloud sequence in order to obtain approximations of the intermediate states between successive measurements. Additionally, there are suddenly arising structural changes due to the occurrence of new plant parts such as new branches or leaves. We present a novel method that addresses these challenges via semantic segmentation and the generation of a segment hierarchy per scan, the matching of the hierarchical representations of successive scans and the segment‐wise computation of optimal transport. The transport problems' solutions yield the information required for a realistic temporal upsampling, which is generated in real time. Thereby, our method does not require shape templates, good correspondences or huge databases of examples. Newly grown and decayed parts of the plant are detected as unmatched segments and are handled by identifying corresponding bifurcation points and introducing virtual segments in the previous, respectively successive time step. Our method allows the generation of realistic upsampled growth animations with moderate computational effort.en_US
dc.description.number6
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.14009
dc.identifier.issn1467-8659
dc.identifier.pages167-179
dc.identifier.urihttps://doi.org/10.1111/cgf.14009
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14009
dc.publisher© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectpoint‐based animation
dc.subjectanimation
dc.subjectpoint‐based methods
dc.subjectmethods and applications
dc.subjectscientific visualization
dc.subjectvisualization
dc.subjectoptimal transport
dc.subjecttemporal upsampling
dc.subjectplant growth
dc.subjectpoint clouds
dc.titleTemporal Upsampling of Point Cloud Sequences by Optimal Transport for Plant Growth Visualizationen_US
Files
Collections
39-Issue 6