SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation
Wenqiang Xu*, Yong-Lu Li*, Cewu Lu. (*=equal contribution)
ECCV2018 [PDF]
Google Drive: [Instance-60k & 3D Object Models]
The 3D object models are reconstructed through Structure from Motion (SfM), Multi-View Stereo (MVS), Surface Reconstruction and Texture Mapping. More details can be found in our paper.
3D Reconstruction Process:
iPhone video sequence --(SfM)--> Sparse Point Cloud --(MVS)--> Dense Point Cloud --(Possion SR)--> Mesh --(UV Mapping)--> Rough Model --(Semi-automatic Edited) --> Final Model
If you find our work useful in your research, please consider citing:
@inproceedings{xu2018srda,
title={SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation},
author={Xu, Wenqiang and Li, Yonglu and Lu, Cewu},
booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
pages={120--136},
year={2018}
}