Single View Point Omnidirectional Camera Calibration from Planar Grids
By Christopher Mei, Patrick Rives. Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007
524 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/f5d0bd56bdcfe110f34cdda7a48be29a232bb6ac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Andreas Geiger
- Marc Pollefeys
- Christian Häne
- Fatma Güney
- Jitendra Malik
- Luc Van Gool
- Joel Janai
- Aseem Behl
In Mechanical Engineering
Citations in the corpus
- An Enhanced Unified Camera Model (2016, background): “The so-called unified model is of particular interest to us because our own model is based on it.”
- Omnidirectional 3D reconstruction in augmented Manhattan worlds (2014, methodology): “To ease the formulation of the 3D reconstruction problem we first compute a virtual 360◦ disparity image from four omnidirectional views captured by a catadioptric stereo pair at two consecutive time steps.”
- Real-Time Direct Dense Matching on Fisheye Images Using Plane-Sweeping Stereo (2014, methodology): “The details for the specific models can be found in [8, 2, 16] for the unified projection model and in [5] for the FOV model.”
- Autonomous aerial navigation using monocular visual‐inertial fusion (2018, unknown): “w = Rr Rv(d ⋅ K−1 ⋅ [ u 1 ] ) + pr (14)”
- Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art (2017, background): “Geyer & Daniilidis (2000) provide a unifying theory for all central catadioptric systems which is known as unified projection model in the literature and widely used by different calibration toolboxes (Mei & Rives (2007); Heng et al. (2013, 2015)).”