Standard
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. red. / Abderrahim Elmoataz; Jalal Fadili; Yvain Quéau; Julien Rabin; Loïc Simon. Springer, 2021. s. 177-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12679 LNCS).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Darkner, S, Vidarte, JDT
& Lauze, F 2021,
First Order Locally Orderless Registration. i A Elmoataz, J Fadili, Y Quéau, J Rabin & L Simon (red),
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), bind 12679 LNCS, s. 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
APA
Darkner, S., Vidarte, J. D. T.
, & Lauze, F. (2021).
First Order Locally Orderless Registration. I A. Elmoataz, J. Fadili, Y. Quéau, J. Rabin, & L. Simon (red.),
Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings (s. 177-188). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Bind 12679 LNCS
https://doi.org/10.1007/978-3-030-75549-2_15
Vancouver
Darkner S, Vidarte JDT
, Lauze F.
First Order Locally Orderless Registration. I Elmoataz A, Fadili J, Quéau Y, Rabin J, Simon L, red., Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. Springer. 2021. s. 177-188. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12679 LNCS).
https://doi.org/10.1007/978-3-030-75549-2_15
Author
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. red. / Abderrahim Elmoataz ; Jalal Fadili ; Yvain Quéau ; Julien Rabin ; Loïc Simon. Springer, 2021. s. 177-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12679 LNCS).
Bibtex
@inproceedings{5217ab0466ad4898a09c8c06780e3794,
title = "First Order Locally Orderless Registration",
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.",
keywords = "First order information, Image registration, Locally Orderless Images",
author = "Sune Darkner and Vidarte, {Jos{\'e} D.T.} and Fran{\c c}ois Lauze",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021 ; Conference date: 16-05-2021 Through 20-05-2021",
year = "2021",
doi = "10.1007/978-3-030-75549-2_15",
language = "English",
isbn = "9783030755485",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "177--188",
editor = "Abderrahim Elmoataz and Jalal Fadili and Yvain Qu{\'e}au and Julien Rabin and Lo{\"i}c Simon",
booktitle = "Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings",
address = "Switzerland",
}
RIS
TY - GEN
T1 - First Order Locally Orderless Registration
AU - Darkner, Sune
AU - Vidarte, José D.T.
AU - Lauze, François
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - First order information
KW - Image registration
KW - Locally Orderless Images
U2 - 10.1007/978-3-030-75549-2_15
DO - 10.1007/978-3-030-75549-2_15
M3 - Article in proceedings
AN - SCOPUS:85106402902
SN - 9783030755485
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 177
EP - 188
BT - Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings
A2 - Elmoataz, Abderrahim
A2 - Fadili, Jalal
A2 - Quéau, Yvain
A2 - Rabin, Julien
A2 - Simon, Loïc
PB - Springer
T2 - 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021
Y2 - 16 May 2021 through 20 May 2021
ER -
