SKD: Unsupervised Keypoint Detecting for Point Clouds using Embedded Saliency Estimation

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Summary

A novel keypoint detector that uses saliency to determine the best candidates from point clouds and combines the saliency, the feature signal and geometric information from the point cloud to allow the network to select good keypoint candidates.

Type
article
Published
2019-12-10
Cited by
2
References
42
Access
Open access

Keywords

Point cloud, Artificial intelligence, Point (geometry), Estimation, Pattern recognition (psychology)

References

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