Automatic anatomical shape correspondence and alignment using mesh features

Tal Darom; Yaniv Gur; Chen Hajaj; Yosi Keller

doi:10.1109/isbi.2015.7164169

Automatic anatomical shape correspondence and alignment using mesh features

Tal Darom
, Yaniv Gur
, Chen Hajaj
, Yosi Keller

IBM

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, we propose a fully automatic and computationally efficient group registration approach for sets of three-dimensional models represented as mesh objects. Our approach is based on agglomerating the set of pairwise model-to-model rigid registrations by a robust spectral synchronization scheme. The pairwise registration is computed using spectral graph matching applied to meshes via the LD-SIFT local mesh features. We applied the proposed scheme to sets of subcortical surfaces, and it was shown to provide accurate and robust registration results.

Original language	English
Title of host publication	2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
Publisher	IEEE Computer Society
Pages	1530-1534
Number of pages	5
ISBN (Electronic)	9781479923748
DOIs	https://doi.org/10.1109/isbi.2015.7164169
State	Published - 21 Jul 2015
Event	12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States Duration: 16 Apr 2015 → 19 Apr 2015

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2015-July
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Country/Territory	United States
City	Brooklyn
Period	16/04/15 → 19/04/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

3D meshes
Local Depth SIFT
SIFT
shape registration

Access to Document

10.1109/isbi.2015.7164169

Cite this

Darom, T., Gur, Y., Hajaj, C., & Keller, Y. (2015). Automatic anatomical shape correspondence and alignment using mesh features. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015 (pp. 1530-1534). Article 7164169 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/isbi.2015.7164169

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keywords = "3D meshes, Local Depth SIFT, SIFT, shape registration",

author = "Tal Darom and Yaniv Gur and Chen Hajaj and Yosi Keller",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 ; Conference date: 16-04-2015 Through 19-04-2015",

year = "2015",

month = jul,

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doi = "10.1109/isbi.2015.7164169",

language = "אנגלית",

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Darom, T, Gur, Y, Hajaj, C & Keller, Y 2015, Automatic anatomical shape correspondence and alignment using mesh features. in 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015., 7164169, Proceedings - International Symposium on Biomedical Imaging, vol. 2015-July, IEEE Computer Society, pp. 1530-1534, 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 16/04/15. https://doi.org/10.1109/isbi.2015.7164169

Automatic anatomical shape correspondence and alignment using mesh features. / Darom, Tal; Gur, Yaniv; Hajaj, Chen et al.
2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, 2015. p. 1530-1534 7164169 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Automatic anatomical shape correspondence and alignment using mesh features

Abstract

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Conference

Bibliographical note

Keywords

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