Fourteen Features for Individual Points in a 3D Point Cloud

Fourteen engineered features characterize the local neighborhood of each point within a 3D point cloud. Hanieh Naderi created this small 9.5 KB dataset, which was last updated on April 21, 2026. The data is stored in an XLS file format and shared under a CC-BY-4.0 license.

Use Cases

• Training point-level classifiers based on the fourteen local geometric and statistical features.
• Developing point cloud segmentation algorithms using the engineered neighborhood descriptors.
• Benchmarking feature extraction methods for 3D point cloud processing.
• Analyzing local geometric properties and relationships within point cloud data.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting reuse and modification.
• Focus on fourteen specific features provides a clear, defined scope for analysis.
• Last update date of 2026-04-21 is documented, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Features were created for points in a point cloud; specific generation method is not detailed.

Time Range

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Freshness

Last updated 2026-04-21 17:38:26; freshness should be verified.

Geography

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