Kernel-GPA: A globally optimal solution to deformable SLAM in closed-form

Fang Bai, Kanzhi Wu, Adrien Bartoli

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DOI: 10.1177/02783649231195380
Published: 2023-09-29
Container: The International Journal of Robotics Research
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/02783649231195380,
  title = {Kernel-GPA: A globally optimal solution to deformable SLAM in closed-form},
  author = {Fang Bai and Kanzhi Wu and Adrien Bartoli},
  year = {2023},
  journal = {The International Journal of Robotics Research},
  doi = {10.1177/02783649231195380},
  url = {https://doi.org/10.1177/02783649231195380}
}

RIS

TY  - JOUR
TI  - Kernel-GPA: A globally optimal solution to deformable SLAM in closed-form
AU  - Fang Bai
AU  - Kanzhi Wu
AU  - Adrien Bartoli
PY  - 2023
JO  - The International Journal of Robotics Research
DO  - 10.1177/02783649231195380
UR  - https://doi.org/10.1177/02783649231195380
ER  -

APA

Bai, F., Wu, K., & Bartoli, A. (2023). Kernel-GPA: A globally optimal solution to deformable SLAM in closed-form. The International Journal of Robotics Research. https://doi.org/10.1177/02783649231195380

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crossref · retrieved 2026-09-25T17:07:11.644Z