DocumentCode :
1571938
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
fYear :
2006
Firstpage :
2193
Lastpage :
2196
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.312975
Filename :
4106999
Link To Document :
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