Transcription of PointRCNN: 3D Object Proposal Generation and Detection ...
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pointrcnn : 3d object proposal generation and detection from Point CloudShaoshuai Shi Xiaogang Wang Hongsheng LiThe Chinese University of Hong Kong{ssshi, xgwang, this paper , we propose pointrcnn for 3D Object de-tection from raw point cloud. The whole framework iscomposed of two stages: stage-1 for the bottom-up 3 Dproposal Generation and stage-2 for refining proposals inthe canonical coordinates to obtain the final Detection re-sults. Instead of generating proposals from RGB imageor projecting point cloud to bird s view or voxels as pre-vious methods do, our stage-1 sub-network directly gen-erates a small number of high-quality 3D proposals frompoint cloud in a bottom-up manner via segmenting the pointcloud of the whole scene into foreground points and back-ground.}
In this paper, we propose PointRCNN for 3D object de-tection from raw point cloud. The whole framework is composed of two stages: stage-1 for the bottom-up 3D proposal generation and stage-2 for refining proposals in the canonical coordinates to obtain the final detection re-sults. Instead of generating proposals from RGB image
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