Deep Shape from a Low Number of Silhouettes
Abstract
Despite strong progress in the field of 3D reconstruction from multiple views, holes on objects, transparency of objects and textureless scenes, continue to be open challenges. On the other hand, silhouette based reconstruction techniques ease the dependency of 3d reconstruction on image pixels but need a large number of silhouettes to be available from multiple views. In this paper, a novel end to end pipeline is proposed to produce high quality reconstruction from a low number of silhouettes, the core of which is a deep shape reconstruction architecture. Evaluations on ShapeNet [ 1 ] show good quality of reconstruction compared with ground truth.
Cite
Text
Di et al. "Deep Shape from a Low Number of Silhouettes." European Conference on Computer Vision Workshops, 2016. doi:10.1007/978-3-319-49409-8_21Markdown
[Di et al. "Deep Shape from a Low Number of Silhouettes." European Conference on Computer Vision Workshops, 2016.](https://mlanthology.org/eccvw/2016/di2016eccvw-deep/) doi:10.1007/978-3-319-49409-8_21BibTeX
@inproceedings{di2016eccvw-deep,
title = {{Deep Shape from a Low Number of Silhouettes}},
author = {Di, Xinhan and Dahyot, Rozenn and Prasad, Mukta},
booktitle = {European Conference on Computer Vision Workshops},
year = {2016},
pages = {251-265},
doi = {10.1007/978-3-319-49409-8_21},
url = {https://mlanthology.org/eccvw/2016/di2016eccvw-deep/}
}