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Template-Based Statistical Shape Modelling on Deformation Space
Demisse, Girum; Aouada, Djamila; Ottersten, Björn
2015In 22nd IEEE International Conference on Image Processing
Peer reviewed
 

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Keywords :
Statistical Shape modelling
Abstract :
[en] A statistical model for shapes in $\mathbb{R}^2$ or $\mathbb{R}^3$ is proposed. Shape modelling is a difficult problem mainly due to the non-linear nature of its space. Our approach considers curves as shape contours, and models their deformations with respect to a deformable template shape. Contours are uniformly sampled into a discrete sequence of points. Hence, the deformation of a shape is formulated as an action of transformation matrices on each of these points. A parametrized stochastic model based on Markov process is proposed to model shape variability in the deformation space. The model's parameters are estimated from a labeled training dataset. Moreover, a similarity metric based on the Mahalanobis distance is proposed. Subsequently, the model has been successfully tested for shape recognition, synthesis, and retrieval.
Disciplines :
Computer science
Author, co-author :
Demisse, Girum ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Aouada, Djamila  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Template-Based Statistical Shape Modelling on Deformation Space
Publication date :
2015
Event name :
22nd IEEE International Conference on Image Processing
Event organizer :
IEEE Signal Processing Society in conjunction with Institute of Elecetrical and Electronics Engineers
Event place :
Quebec city, Canada
Event date :
from 27-09-2015 to 30-09-2015
Audience :
International
Main work title :
22nd IEEE International Conference on Image Processing
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 10 May 2015

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