
Proceedings Paper
Multi-object segmentation using coupled nonparametric shape and relative pose priorsFormat | Member Price | Non-Member Price |
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Paper Abstract
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our
method is motivated by the observation that neighboring or coupling objects in images generate configurations
and co-dependencies which could potentially aid in segmentation if properly exploited. Our approach employs
coupled shape and inter-shape pose priors that are computed using training images in a nonparametric multi-variate
kernel density estimation framework. The coupled shape prior is obtained by estimating the joint shape
distribution of multiple objects and the inter-shape pose priors are modeled via standard moments. Based on
such statistical models, we formulate an optimization problem for segmentation, which we solve by an algorithm
based on active contours. Our technique provides significant improvements in the segmentation of weakly contrasted
objects in a number of applications. In particular for medical image analysis, we use our method to
extract brain Basal Ganglia structures, which are members of a complex multi-object system posing a challenging
segmentation problem. We also apply our technique to the problem of handwritten character segmentation.
Finally, we use our method to segment cars in urban scenes.
Paper Details
Date Published: 2 February 2009
PDF: 12 pages
Proc. SPIE 7246, Computational Imaging VII, 72460H (2 February 2009); doi: 10.1117/12.815215
Published in SPIE Proceedings Vol. 7246:
Computational Imaging VII
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)
PDF: 12 pages
Proc. SPIE 7246, Computational Imaging VII, 72460H (2 February 2009); doi: 10.1117/12.815215
Show Author Affiliations
Mustafa Gökhan Uzunbas, Sabanci Univ. (Turkey)
Octavian Soldea, Sabanci Univ. (Turkey)
Müjdat Çetin, Sabanci Univ. (Turkey)
Gözde Ünal, Sabanci Univ. (Turkey)
Octavian Soldea, Sabanci Univ. (Turkey)
Müjdat Çetin, Sabanci Univ. (Turkey)
Gözde Ünal, Sabanci Univ. (Turkey)
Aytül Erçil, Sabanci Univ. (Turkey)
Devrim Unay, Philips Research Europe (Netherlands)
Ahmet Ekin, Philips Research Europe (Netherlands)
Zeynep Firat, Yeditepe Univ. Hospital (Turkey)
Devrim Unay, Philips Research Europe (Netherlands)
Ahmet Ekin, Philips Research Europe (Netherlands)
Zeynep Firat, Yeditepe Univ. Hospital (Turkey)
Published in SPIE Proceedings Vol. 7246:
Computational Imaging VII
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)
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