Title
A geometric moment-based observer for global range and local orientation identification
Abstract
A reduced-order globally convergent observer to estimate the depth of an object projected on the image plane of a camera is presented, assuming that the object is planar or has a planar limb surface and the orientation of the plane is known. A local result can be obtained when the plane unit normal is unknown, and the latter is estimated together with the depth of the object. The observer exploits the image moments of the object as measured features. The estimation is achieved by rendering attractive and invariant a manifold in the extended state space of the system and the observer. The problem is reduced to the solution of a system of partial differential equations.
Year
DOI
Venue
2010
10.1109/ACC.2010.5530506
American Control Conference
Keywords
Field
DocType
cameras,geometry,observers,partial differential equations,robots,state-space methods,visual servoing,camera,geometric moment based observer,global range identification,image plane,local orientation identification,planar limb surface,reduced order globally convergent observer,state space,history,partial differential equation,feature extraction
State observer,Computer science,Control theory,Image plane,Control engineering,Invariant (mathematics),Observer (quantum physics),Rendering (computer graphics),Image moment,State space,Manifold
Conference
ISSN
ISBN
Citations 
0743-1619
978-1-4244-7426-4
0
PageRank 
References 
Authors
0.34
13
3
Name
Order
Citations
PageRank
Mario Sassano115230.65
Daniele Carnevale2768.50
Alessandro Astolfi31554169.77