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cs.CV2024
Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network
Zexian Huang, Kourosh Khoshelham, Martin Tomko
Geometric shape classification of vector polygons remains a challenging task in spatial analysis. Previous studies have primarily focused on deep learning approaches for rasterized…
cs.CV2024
LMSeg: An end-to-end geometric message-passing network on barycentric dual graphs for large-scale landscape mesh segmentation
Zexian Huang, Kourosh Khoshelham, Martin Tomko
Semantic segmentation of large-scale 3D landscape meshes is critical for geospatial analysis in complex environments, yet existing approaches face persistent challenges of scalabil…