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Paper Abstract and Keywords
Presentation 2026-03-04 14:30
[Poster Presentation] Alignment of Similarity-Transformed Images via Cross-Correlation Maximization Based on Auxiliary Function Method
Shinji Yamashita, Yuma Kinoshita (Tokai Univ.), Hitoshi Kiya (TMU) EA2025-160 SIP2025-180 SP2025-113
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an algorithm for estimating the similarity transformation, namely translation, scale, and rotation, between two images with subpixel accuracy. Image registration is a fundamental technique for aligning images acquired under different viewpoints and imaging conditions, and a representative approach based on maximizing discrete cross-correlation is the Fourier--Mellin registration. However, the Fourier--Mellin approach often fails to achieve sufficient alignment accuracy when subpixel-level estimation is required. The proposed method integrates (i) scale-and-rotation estimation from the Fourier magnitude spectrum in a log-polar representation and (ii) maximization of phase-only correlation based on the auxiliary function method. This integration enables a two-stage estimation procedure: it first estimates scale and rotation without being affected by translation, and then estimates translation with subpixel precision in the spatial domain using the corrected image pair. Simulation experiments on image pairs subjected to random similarity transformations demonstrate that the proposed method reduces estimation errors in scale, rotation, and translation compared with Fourier--Mellin-based registration methods using discrete cross-correlation.
Keyword (in Japanese) (See Japanese page) 
(in English) Image alignment / similarity transformation / Fourier--Mellin transform / phase-only correlation / auxiliary-function method / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 370, SIP2025-180, pp. 508-513, March 2026.
Paper # SIP2025-180 
Date of Issue 2026-02-23 (EA, SIP, SP) 
ISSN Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EA2025-160 SIP2025-180 SP2025-113

Conference Information
Committee SP EA SIP IPSJ-SLP  
Conference Date 2026-03-02 - 2026-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2026-03-SP-EA-SIP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Alignment of Similarity-Transformed Images via Cross-Correlation Maximization Based on Auxiliary Function Method 
Sub Title (in English)  
Keyword(1) Image alignment  
Keyword(2) similarity transformation  
Keyword(3) Fourier--Mellin transform  
Keyword(4) phase-only correlation  
Keyword(5) auxiliary-function method  
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1st Author's Name Shinji Yamashita  
1st Author's Affiliation Tokai University (Tokai Univ.)
2nd Author's Name Yuma Kinoshita  
2nd Author's Affiliation Tokai University (Tokai Univ.)
3rd Author's Name Hitoshi Kiya  
3rd Author's Affiliation Tokyo Metropolitan University (TMU)
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Speaker Author-1 
Date Time 2026-03-04 14:30:00 
Presentation Time 80 minutes 
Registration for SIP 
Paper # EA2025-160, SIP2025-180, SP2025-113 
Volume (vol) vol.125 
Number (no) no.369(EA), no.370(SIP), no.371(SP) 
Page pp.508-513 
#Pages 6 
Date of Issue 2026-02-23 (EA, SIP, SP) 

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