First Order Locally Orderless Registration

Sune Darkner; José D.T. Vidarte; François Lauze

doi:10.1007/978-3-030-75549-2_15

First Order Locally Orderless Registration

Sune Darkner^*, José D.T. Vidarte, François Lauze

^*Corresponding author for this work

Image Analysis, Computational Modelling and Geometry

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

20 Downloads (Pure)

Abstract

First Order Locally Orderless Registration (FLOR) is a scale-space framework for image density estimation used for defining image similarity, mainly for Image Registration. The Locally Orderless Registration framework was designed in principle to use zeroth-order information, providing image density estimates over three scales: image scale, intensity scale, and integration scale. We extend it to take first-order information into account and hint at higher-order information. We show how standard similarity measures extend into the framework. We study especially Sum of Squared Differences (SSD) and Normalized Cross-Correlation (NCC) but present the theory of how Normalised Mutual Information (NMI) can be included.

Original language	English
Title of host publication	Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings
Editors	Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon
Publisher	Springer
Publication date	2021
Pages	177-188
ISBN (Print)	9783030755485
DOIs	https://doi.org/10.1007/978-3-030-75549-2_15
Publication status	Published - 2021
Event	8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021 - Virtual, Online Duration: 16 May 2021 → 20 May 2021

Conference

Conference	8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021
City	Virtual, Online
Period	16/05/2021 → 20/05/2021

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12679 LNCS
ISSN	0302-9743

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

First order information
Image registration
Locally Orderless Images

Access to Document

10.1007/978-3-030-75549-2_15

FulltextSubmitted manuscript, 642 KB

Cite this

Darkner, S., Vidarte, J. D. T., & Lauze, F. (2021). First Order Locally Orderless Registration. In A. Elmoataz, J. Fadili, Y. Quéau, J. Rabin, & L. Simon (Eds.), Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings (pp. 177-188). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12679 LNCS https://doi.org/10.1007/978-3-030-75549-2_15

First Order Locally Orderless Registration. / Darkner, Sune; Vidarte, José D.T.; Lauze, François.

Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. ed. / Abderrahim Elmoataz; Jalal Fadili; Yvain Quéau; Julien Rabin; Loïc Simon. Springer, 2021. p. 177-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12679 LNCS).

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

Darkner, S, Vidarte, JDT & Lauze, F 2021, First Order Locally Orderless Registration. in A Elmoataz, J Fadili, Y Quéau, J Rabin & L Simon (eds), Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12679 LNCS, pp. 177-188, 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, Virtual, Online, 16/05/2021. https://doi.org/10.1007/978-3-030-75549-2_15

Darkner S, Vidarte JDT, Lauze F. First Order Locally Orderless Registration. In Elmoataz A, Fadili J, Quéau Y, Rabin J, Simon L, editors, Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. Springer. 2021. p. 177-188. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12679 LNCS). https://doi.org/10.1007/978-3-030-75549-2_15

Darkner, Sune ; Vidarte, José D.T. ; Lauze, François. / First Order Locally Orderless Registration. Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. editor / Abderrahim Elmoataz ; Jalal Fadili ; Yvain Quéau ; Julien Rabin ; Loïc Simon. Springer, 2021. pp. 177-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12679 LNCS).

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