Key-Images


1 Unorganized sets of 3-D points

   P={P1,..,Pn}


        

 


 


2 Particular case of range images
                   (University of South Florida)
 
 

    




3 Structuration of the data
                  (Neighborhood relationship)




4 Surface local descriptors

    --> characterization of local putative boundary features
 
 

3 Segmentation of P into significant parts of the object

     --> Problem of local organisation
     --> No constraining model for the regions
 
 

4 Extremal Escarpment Trees

    

    

5 Partitionning into atomic regions
 
 

    
 


 
 

6 First merging step - Enhancement of natural boundaries
 
 

    



7 Hysteresis process - further merging step
 
 

    

8 Application to range images
 
 

    
Range Image                     Result of our method
                                                                                                                                                    (not dedicated to planar segmentation)

        
UB method                UE method                 USF method

9 Steps by steps on a simple example





 (With contraction ...)
 
 


 
 

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