Point Cloud Models
PREDATOR
Introduced by Huang et al. in PREDATOR: Registration of 3D Point Clouds with Low OverlapPREDATOR is a model for pairwise point-cloud registration with deep attention to the overlap region. Its key novelty is an overlap-attention block for early information exchange between the latent encodings of the two point clouds. In this way the subsequent decoding of the latent representations into per-point features is conditioned on the respective other point cloud, and thus can predict which points are not only salient, but also lie in the overlap region between the two point clouds.
Source: PREDATOR: Registration of 3D Point Clouds with Low Overlap
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
