Semi-Direct SLAM with Manhattan for Indoor Low-Texture Environment
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8435-0_28
Reference30 articles.
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2. Kim, P., Li, H., Joo, K.: Quasi-globally optimal and real-time visual compass in manhattan structured environments. IEEE Rob. Autom. Lett. 7(2), 2613–2620 (2022)
3. Ge, W., Song, Y., Zhang, B., Dong, Z.: Globally optimal and efficient manhattan frame estimation by delimiting rotation search space. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 15213–15221 (2021)
4. Coughlan, J.M., Yuille, A.L.: Manhattan world: compass direction from a single image by bayesian inference. In: Proceedings of the Seventh IEEE International Conference on Computer Vision, pp. 941–947. IEEE (1999)
5. Li, H., Zhao, J., Bazin, J.C., Liu, Y.H.: Quasi-globally optimal and near/true real-time vanishing point estimation in manhattan world. IEEE Trans. Pattern Anal. Mach. Intell. 44(3), 1503–1518 (2020)
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