Breaking the Frame: Visual Place Recognition by Overlap Prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00380703" target="_blank" >RIV/68407700:21230/25:00380703 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/WACV61041.2025.00232" target="_blank" >https://doi.org/10.1109/WACV61041.2025.00232</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WACV61041.2025.00232" target="_blank" >10.1109/WACV61041.2025.00232</a>
Alternative languages
Result language
angličtina
Original language name
Breaking the Frame: Visual Place Recognition by Overlap Prediction
Original language description
Visual place recognition methods struggle with occlusion and partial visual overlaps. We propose a novel visual place recognition approach based on overlap prediction, called VOP, shifting from traditional reliance on global image similarities and local features to image overlap prediction. VOP proceeds co-visible image sections by obtaining patch-level embeddings using a Vision Transformer backbone and establishing patch-to-patch correspondences without requiring expensive feature detection and matching. Our approach uses a voting mechanism to assess overlap scores for potential database images. It provides a nuanced image retrieval metric in challenging scenarios. Experimental results show that VOP leads to more accurate relative pose estimation and localization results on the retrieved image pairs than state-of-the-art baselines on a number of large-scale, real-world indoor and outdoor benchmarks. The code is available at https: //github.com/weitong8591/vop.git.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
ISBN
979-8-3315-1084-8
ISSN
2472-6737
e-ISSN
2642-9381
Number of pages
10
Pages from-to
2322-2331
Publisher name
IEEE
Place of publication
Piscataway
Event location
Tucson
Event date
Feb 28, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001481328900222