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Proceedings Paper

Large deformation image matching via volume imagery
Author(s): Lei Wang; Michael I. Miller
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Paper Abstract

We present a new algorithm for large deformation image matching via volume data. The image matching problem is stated as a control problem with the optimal diffeomorphic match constructed a minimize a running smoothness cost on a velocity field generating the diffeomorphism wile simultaneously minimizing a matching end point condition of the imagery. The diffeomorphic deformation field on the image space is generated by numerically integrating the velocity field.

Paper Details

Date Published: 2 October 1998
PDF: 7 pages
Proc. SPIE 3454, Vision Geometry VII, (2 October 1998); doi: 10.1117/12.323268
Show Author Affiliations
Lei Wang, Washington Univ. (United States)
Michael I. Miller, Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 3454:
Vision Geometry VII
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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