An RGB-D pipeline that fuses multi-view deep-learning pose predictions through a semantic 3D map improves 6D object pose accuracy over single-frame DenseFusion on YCB-Video and on a new warehouse dataset.
Kinectfusion: Real-time dense surface mapping and tracking,
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Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots
An RGB-D pipeline that fuses multi-view deep-learning pose predictions through a semantic 3D map improves 6D object pose accuracy over single-frame DenseFusion on YCB-Video and on a new warehouse dataset.