A new partitioned approach to image-based visual servo control
By Peter Corke, Seth A. Hutchinson. IEEE Trans. Robotics Autom., 2001
538 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/46d2e923d3688acd08f3d823345a83207f234980
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
- François Chaumette
- Tarek Hamel
- Robert E. Mahony
- Nicolas Guenard
- Ezio Malis
- Alessandro De Luca
- Paolo Robuffo Giordano
- Giuseppe Oriolo
In Computer Vision and Pattern Recognition
- Ezio Malis
- François Chaumette
- Alessandro De Luca
- Paolo Robuffo Giordano
- Giuseppe Oriolo
- Tarek Hamel
- Robert E. Mahony
- James M. Conrad
In Media Technology
- Ezio Malis
- François Chaumette
- Alessandro De Luca
- Paolo Robuffo Giordano
- Giuseppe Oriolo
- Robert E. Mahony
- Tarek Hamel
- Seth A. Hutchinson
Citations in the corpus
- Improving vision-based control using efficient second-order minimization techniques (2004, methodology): “[11] D.W. Marquardt, “An algorithm for least-squares estimation of nonlinear parameters,” SIAM J. of App.”
- Point-based and region-based image moments for visual servoing of planar objects (2005, unknown): “Index Terms —Visual servoing, image moment, invariant.”
- Visual servoing of an under-actuated dynamic rigid-body system: an image-based approach (2002, unknown): “are treated separately [17], [19], [6], [5].”
- Feature Depth Observation for Image-based Visual Servoing: Theory and Experiments (2008, background): “Moreover, direct control of the feature motion on the image plane allows strategies to be devised that aim at always keeping the target in the field of view of the camera (Corke and Hutchinson 2001).”
- A Practical Visual Servo Control for an Unmanned Aerial Vehicle (2008, background): “More recently, there has been considerable interest in hybrid control methods whereby translational and rotational control are treated separately [8], [10], [24], [27].”
- A survey of quadrotor Unmanned Aerial Vehicles (2012, background): “[11, 18, 19, 22, 23, 25] Visual servo techniques can be broadly classified into Image Based (IBVS) and Position Based (PBVS).”
- Image moments: a general and useful set of features for visual servoing (2004, background): “In fact, these four features have already been used in the partitioned system presented in [6] (with a more intuitive and approximative modeling of the interaction matrix).”
- Visual servo control. I. Basic approaches (2006, methodology): “We now consider the particularization of this to the specific cases of IBVS and PBVS.”