Martha Paskin, Daniel Baum, Mason N. Dean, Christoph von Tycowicz. A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks. In Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner, editors, Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II. Volume 13662 of Lecture Notes in Computer Science, pages 363-379, Springer, 2022. [doi]
@inproceedings{PaskinBDT22,
title = {A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks},
author = {Martha Paskin and Daniel Baum and Mason N. Dean and Christoph von Tycowicz},
year = {2022},
doi = {10.1007/978-3-031-20086-1_21},
url = {https://doi.org/10.1007/978-3-031-20086-1_21},
researchr = {https://researchr.org/publication/PaskinBDT22},
cites = {0},
citedby = {0},
pages = {363-379},
booktitle = {Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II},
editor = {Shai Avidan and Gabriel J. Brostow and Moustapha Cissé and Giovanni Maria Farinella and Tal Hassner},
volume = {13662},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-20086-1},
}