loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
Scale-Adaptive Landmark Detection, Classification and Size Estimation in 3D Object-Background Images
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
G. de Vries, Delft University of Technology
P.W. Verbeek, Delft University of Technology
A method, based on the gradient square tensor (GST), to detect, classify and estimate the size of landmarks based on rods, plates and surfaces in 3D object-background images is described. Scale is automatically adapted to the local situation.Results show that the trace of the GST detects landmarks in composite objects and the determinant detects endpoints of rods. The relation between scale at maximum response and landmark size depends on landmark type. Landmarks can be classified by estimating cylindricality and planarity, derived from the GST-eigenvalues.
Citation:
G. de Vries, P.W. Verbeek, "Scale-Adaptive Landmark Detection, Classification and Size Estimation in 3D Object-Background Images," icpr, vol. 3, pp.7026, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
Usage of this product signifies your acceptance of the Terms of Use.