This story was originally published on HackerNoon at:
https://hackernoon.com/building-open-set-3d-representation-feature-fusion-and-geometric-semantic-merging.
O3D-SIM is built by projecting 2D masks and embeddings to 3D, using DBSCAN for initial refinement.
Check more stories related to machine-learning at:
https://hackernoon.com/c/machine-learning.
You can also check exclusive content about
#deep-learning,
#o3d-sim-creation,
#3d-point-cloud-projectio,
#dbscan-clustering,
#incremental-mapping,
#geometric-semantic-fusion,
#feature-embedding-averaging,
#scene-refinement, and more.
This story was written by:
@instancing. Learn more about this writer by checking
@instancing's about page,
and for more stories, please visit
hackernoon.com.
O3D-SIM is built by projecting 2D masks and embeddings to 3D, using DBSCAN for initial refinement.