Shape Completion with Prediction of Uncertain Regions

Overview

This is the dataset for the publication Shape Completion with Prediction of Uncertain Regions [IEEE][arXiv].

The dataset contains rendered depth images, watertight meshes and occupancy as well as uncertain region labels for the mugs category (03797390) of the ShapeNetCore.v1 dataset.

It further contains optimized, watertight meshes and occupancy as well as uncertain region labels for the mugs found in the HB, LM, TYOL and YCBV datasets from the BOP challenge.

After downloading the shapenet.tar.gz and bop.tar.gz files as well as the original datasets, simply unpack and move the content to the corresponding directories.

Code

Python code for loading of this dataset is provided at the official GitHub repository.

MD5 checksums

bop.tar.gz: a0a54631939fef360482aafcccca77a4

shapenet.tar.gz: 4c96dde625dc7662ad6eacf6f129c55c

Citation

If you find the provided dataset useful in your research, please use the following BibTex entry to cite the corresponding research paper:

@inproceedings{humt2023uncertain,  author={Humt, Matthias and Winkelbauer, Dominik and Hillenbrand, Ulrich},  booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},   title={Shape Completion with Prediction of Uncertain Regions},   year={2023},  pages={1215-1221},  doi={10.1109/IROS55552.2023.10342487}}