Title : 
Supershape Recovery from 3D Data Sets
         
        
            Author : 
Fougerolle, Y.D. ; Gribok, Andrei ; Foufou, Sebti ; Truchetet, F. ; Abidi, Mongi A.
         
        
            Author_Institution : 
UMR CNRS, Univ. de Bourgogne, Le Creusot, France
         
        
        
        
        
            Abstract : 
In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are used to perform Boolean operations between the reconstructed parts to obtain a single implicit equation of the reconstructed object that is used to define a global error reconstruction function. We present surface recovery results ranging from single synthetic data to real complex objects involving the composition of several supershapes and holes.
         
        
            Keywords : 
Boolean functions; image reconstruction; image segmentation; 3D data set; Boolean operation; R-function; global error reconstruction function; mesh segmentation; supershape recovery; Boolean functions; Cost function; Equations; Image reconstruction; Iris; Object detection; Shape; Signal reconstruction; Solid modeling; Surface reconstruction; Geometric modeling; boolean functions; signal reconstruction;
         
        
        
        
            Conference_Titel : 
Image Processing, 2006 IEEE International Conference on
         
        
            Conference_Location : 
Atlanta, GA
         
        
        
            Print_ISBN : 
1-4244-0480-0
         
        
        
            DOI : 
10.1109/ICIP.2006.312975