PC2Model is a new public benchmark dataset combining simulated and real-world 3D point clouds with corresponding models to train and test registration methods.
and McKay, Neil D
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A new MAT simplification algorithm uses explicit surface correspondence tracking and priority-controlled edge collapses to preserve structural features like fillet alignments on discrete meshes.
citing papers explorer
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PC2Model: ISPRS benchmark on 3D point cloud to model registration
PC2Model is a new public benchmark dataset combining simulated and real-world 3D point clouds with corresponding models to train and test registration methods.
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Structural MAT: Clean and Scalable Medial Axis Simplification via Explicit Surface Correspondence
A new MAT simplification algorithm uses explicit surface correspondence tracking and priority-controlled edge collapses to preserve structural features like fillet alignments on discrete meshes.