Photometric visual servoing for omnidirectional cameras
By Guillaume Caron, É. Marchand, El Mustapha Mouaddib. 2013
53 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
- Sergey Levine
- Jitendra Malik
- Pieter Abbeel
- Chelsea Finn
- Trevor Darrell
- Abhinav Kumar Gupta
- Alexander Toshev
- Alexei A. Efros
In Computer Vision and Pattern Recognition
- Sergey Levine
- Luc Van Gool
- Trevor Darrell
- Jitendra Malik
- Abhinav Kumar Gupta
- Dacheng Tao
- Ming-Hsuan Yang
- Xiaogang Wang
Citations in the corpus
- Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection (2016, methodology): “Photometric visual servoing uses a target image rather than features (Caron et al., 2013), and several visual servoing methods have been proposed that do not directly require prior calibration between the robot and camera (Hosoda and Asada, 1994; Jägersand et al.”
- Zero-Shot Visual Imitation (2018, background): “Visual servoing is a standard problem in robotics (Koichi & Tom, 1993) that seeks to take actions that align the agent’s observation with a target configuration of carefully-designed visual features (Wilson et al., 1996; Yoshimi & Allen, 1994) or raw pixel intensities (Caron et al., 2013).”
- Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning (2018, background): “Traditional approaches aim to minimize distances of feature points [17, 18, 19], or pixel intensities [20].”
- Bootstrapping bilinear models of Simple Vehicles (2015, background): “Sufficient conditions for convergence are obtained as a function of the statistics of the environment.”
- Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control (2018, background): “Specifying the target by providing an image of the query object, instead of specifying low-level keypoints, is most similar to photometric visual servoing [5].”
- Sim2Real View Invariant Visual Servoing by Recurrent Control (2017, background): “Specifying the target by providing an image of the query object, instead of specifying low-level keypoints, is most most similar to photometric visual servoing [5].”