Linear and non-linear geometric object matching with implicit representation

Alex Leow*, Ming Chang Chiang, Hillary Protas, Paul Thompson, Luminita Vese, Henry S.C. Huang

*此作品的通信作者

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

摘要

This paper deals with the matching of geometric objects including points, curves, surfaces, and subvolumes using implicit object representations in both linear and non-linear settings. This framework can be applied to feature-based non-linear image warping in biomedical imaging with the deformation constrained to be one-to-one, onto, and diffeomorphic. Moreover, a theoretical connection is established between the well known Hausdorff metric and the framework proposed in this paper. A general strategy for matching geometric objects in both 2D and 3D is discussed. The corresponding Euler-Lagrange equations are presented and gradient descent method is employed to solve the time dependent partial differential equations.

原文English
主出版物標題Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
編輯J. Kittler, M. Petrou, M. Nixon
頁面710-713
頁數4
DOIs
出版狀態Published - 2004
事件Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, 英國
持續時間: 23 8月 200426 8月 2004

出版系列

名字Proceedings - International Conference on Pattern Recognition
3
ISSN(列印)1051-4651

Conference

ConferenceProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
國家/地區英國
城市Cambridge
期間23/08/0426/08/04

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