Evaluation of feature-based 3-d registration of probabilistic volumetric scenes
By M. I. Restrepo, Ali O. Ulusoy, J. Mundy. 2014
15 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Andreas Geiger
- Michael J. Black
- Ali O. Ulusoy
- Raquel Urtasun
- Vladlen Koltun
- Fatma Güney
- Yiyi Liao
- Matthias Nießner
In Computer Vision and Pattern Recognition
- Andreas Geiger
- Michael J. Black
- Luc Van Gool
- Jitendra Malik
- Ali O. Ulusoy
- Ming-Hsuan Yang
- Xiaogang Wang
- Dacheng Tao
Citations in the corpus
- RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials (2018, neutral): “[25] and compare it to various model-based and learning-based baselines.”
- Towards Probabilistic Volumetric Reconstruction Using Ray Potentials (2015, methodology): “The datasets provide ground truth point clouds obtained from airborne LIDAR [27].”