3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation

We present 3D-MPA, a method for instance segmentation on 3D point clouds. Given an input point cloud, we propose an object-centric approach where each point votes for its object center. We sample object proposals from the predicted object centers. Then, we learn proposal features from grouped point...

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Bibliographic Details
Main Authors: Engelmann, Francis, Bokeloh, Martin, Fathi, Alireza, Leibe, Bastian, NieBner, Matthias
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Geometry
Object detection
Proposals
Semantics
Three-dimensional displays
Two dimensional displays
Online Access:Request full text
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