SKD: keypoint detection for point clouds using saliency estimation
We present SKD, a novel keypoint detector that uses saliency to determine the best candidates from a point cloud for tasks such as registration and reconstruction. The approach can be applied to any differentiable deep learning descriptor by using the gradients of that descriptor with respect to the...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2021
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