bibtype	C - Conference Paper (international conference)
ARLID	0639036
utime	20251007082107.5
mtime	20250918235959.9
SCOPUS	105017373775
DOI	10.1007/978-3-032-04968-1_27
title (primary) (eng)	Framework for Generation of Moment Invariants by Tensor Method
specification	page_count 11 s. media_type P
serial	ARLID cav_un_epca*0639035 ISBN 978-3-032-04967-4 ISSN 0302-9743 title Computer Analysis of Images and Patterns page_num 319-329 publisher place Cham name Springer year 2025 editor name1 Castrillón-Santana name2 Modesto editor name1 Travieso-González name2 Carlos M. editor name1 Suarez name2 Oscar Deniz editor name1 Freire-Obregón name2 David editor name1 Hernández-Sosa name2 Daniel editor name1 Lorenzo-Navarro name2 Javier editor name1 Santana name2 Oliverio J.
keyword	tensor fields
keyword	graph method
keyword	tensor contraction
keyword	moment invariants
author (primary)	ARLID cav_un_auth*0101203 name1 Suk name2 Tomáš institution UTIA-B full_dept (cz) Zpracování obrazové informace full_dept (eng) Department of Image Processing department (cz) ZOI department (eng) ZOI full_dept Department of Image Processing fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0349350 name1 Bujack name2 R. country US
source	url https://library.utia.cas.cz/separaty/2025/ZOI/suk-0639036.pdf
cas_special	project project_id GA24-10069S agency GA ČR country CZ ARLID cav_un_auth*0472834 project project_id 20250145ER agency U.S. Department of Energy country US ARLID cav_un_auth*0493302 abstract (eng) The integrated application "Afinvtensors" can generate moment invariants for various types of data and transformations from grayscale images up to tensor fields both to rotation and to affine transformation and both in 2D and in 3D. It is based on the graph method and tensor contraction. Its abilities are demonstrated in the experiment with 2D affine transformation of coordinates and independent 3D affine transformation of values of color images. action ARLID cav_un_auth*0493301 name International Conference on Computer Analysis of Images and Patterns 2025 (CAIP 2025) /21./ dates 20250922 mrcbC20-s 20250925 place Las Palmas de Gran Canaria country ES RIV IN FORD0 20000 FORD1 20200 FORD2 20204 reportyear 2026 num_of_auth 2 presentation_type PR inst_support RVO:67985556 permalink https://hdl.handle.net/11104/0370097 cooperation ARLID cav_un_auth*0493303 name Data Science at Scale Team, Los Alamos National Laboratory, country US confidential S mrcbT16-q 499 mrcbT16-s 0.606 mrcbT16-y 25.34 mrcbT16-x 1.17 mrcbT16-3 102124 mrcbT16-4 Q2 arlyear 2025 mrcbU14 105017373775 SCOPUS mrcbU24 PUBMED mrcbU34 WOS mrcbU56 pdf soubor 73 102 900 bytes mrcbU63 cav_un_epca*0639035 Computer Analysis of Images and Patterns Springer 2025 Cham 319 329 978-3-032-04967-4 Lecture Notes in Computer Science 15621 0302-9743 1611-3349 mrcbU67 Castrillón-Santana Modesto 340 mrcbU67 Travieso-González Carlos M. 340 mrcbU67 Suarez Oscar Deniz 340 mrcbU67 Freire-Obregón David 340 mrcbU67 Hernández-Sosa Daniel 340 mrcbU67 Lorenzo-Navarro Javier 340 mrcbU67 Santana Oliverio J. 340