Search engines are the default way in which most people engage with information, as the vast majority of information is born digital. Also, a new wave of information is underway: low-cost 3D scanners, 3D printers, generative models, and powerful modelling software have made 3D models appeal to an increasing audience. Repositories of 3D objects are rapidly growing in both number and size. Yet, exploring such large 3D repositories and retrieving the models of interest remains a challenging problem. It is crucial to develop algorithms for content-based searching of 3D object collections; creating compact and accurate descriptors for 3D objects; creating efficient storage structures for databases of 3D objects; investigating theoretical aspects of practical importance, such as the definition of the similarity concept; interfaces for content-based 3D object search; visualization techniques for 3D search results; real time aspects of techniques and algorithms; new challenges such as faceted 3D browsing, social search, and navigation of hybrid datasets. The complex yet concrete problems above are drawing increasing attention from the research community. This special issue covers techniques from different fields such as Computer Vision, Computer Graphics, Machine Learning, Cognitive Science, and Human-Computer Interaction contributing toward innovative concepts, methods and applications for 3D object retrieval, supporting shape understanding, classification, retrieval, and repository exploration, among others.
Authors are invited to submit original and unpublished research and application papers addressing all areas of 3D/4D Object Retrieval. State-of-the-art papers on specific topics of interest are particularly welcome. Submissions are invited in the form of full papers and short papers. Full papers will be peer-reviewed by a two-stage review process, and published as a special section of the Computers & Graphics Journal (Elsevier). Short papers will follow a one-stage review process and will appear in the Eurographics Digital Library.
Suggested topics include, but are not limited to:
3D shape analysis; 3D shape similarity and matching' 3D mesh sequence retrieval; 3D mobile media retrieval; 3D search in large scale data; 3D object classification, indexing, and mining; Similarity of non-rigid shapes; Shape correspondence; 3D shape decomposition, and segmentation; Partial, part-in-whole, and many-to-many matching; Matching under uncertainty and noise; Semantics-driven 3D object retrieval and classification; Sketch-based 3D retrieval; Query interfaces and search modalities; Benchmarking issues; Deep learning for 3D shape retrieval; Generative/discriminative approaches in 3D object categorisation; Visual Analytics for 3D similarity assessment; Applications in all areas relevant to 3D/4D objects, including multimedia and information systems, CAD, architecture, games, biometrics, e-science, e-learning, medicine, biology, and cultural heritage, among others.
Call for papers
Special Section: 3DOR 2025 - 18th EG Symposium on 3D Object Retrieval
Search engines are the default way in which most people engage with information, as the vast majority of information is born digital. Also, a new wave of information is underway: low-cost 3D scanners, 3D printers, generative models, and powerful modelling software have made 3D models appeal to an increasing audience. Repositories of 3D objects are rapidly growing in both number and size. Yet, exploring such large 3D repositories and retrieving the models of interest remains a challenging problem. It is crucial to develop algorithms for content-based searching of 3D object collections; creating compact and accurate descriptors for 3D objects; creating efficient storage structures for databases of 3D objects; investigating theoretical aspects of practical importance, such as the definition of the similarity concept; interfaces for content-based 3D object search; visualization techniques for 3D search results; real time aspects of techniques and algorithms; new challenges such as faceted 3D browsing, social search, and navigation of hybrid datasets. The complex yet concrete problems above are drawing increasing attention from the research community. This special issue covers techniques from different fields such as Computer Vision, Computer Graphics, Machine Learning, Cognitive Science, and Human-Computer Interaction contributing toward innovative concepts, methods and applications for 3D object retrieval, supporting shape understanding, classification, retrieval, and repository exploration, among others.
Authors are invited to submit original and unpublished research and application papers addressing all areas of 3D/4D Object Retrieval. State-of-the-art papers on specific topics of interest are particularly welcome. Submissions are invited in the form of full papers and short papers. Full papers will be peer-reviewed by a two-stage review process, and published as a special section of the Computers & Graphics Journal (Elsevier). Short papers will follow a one-stage review process and will appear in the Eurographics Digital Library.
Suggested topics include, but are not limited to:
3D shape analysis; 3D shape similarity and matching' 3D mesh sequence retrieval; 3D mobile media retrieval; 3D search in large scale data; 3D object classification, indexing, and mining; Similarity of non-rigid shapes; Shape correspondence; 3D shape decomposition, and segmentation; Partial, part-in-whole, and many-to-many matching; Matching under uncertainty and noise; Semantics-driven 3D object retrieval and classification; Sketch-based 3D retrieval; Query interfaces and search modalities; Benchmarking issues; Deep learning for 3D shape retrieval; Generative/discriminative approaches in 3D object categorisation; Visual Analytics for 3D similarity assessment; Applications in all areas relevant to 3D/4D objects, including multimedia and information systems, CAD, architecture, games, biometrics, e-science, e-learning, medicine, biology, and cultural heritage, among others.
Guest editors:
Prof. Niloy Mitra, PhD
University College London, London, United Kingdom
Email: [email protected]
Dr. Paul Guerrero, PhD
Adobe, London, United Kingdom
Email: [email protected]
Prof. Ioannis Pratikakis, PhD
Democritus University of Thrace, Komotini, Greece
Email:[email protected]
Prof. Remco Veltkamp, PhD
Utrecht University, Utrecht, Netherlands
Email: [email protected]
Manuscript submission information:
The journal's submission platform (Editorial Manager®) will be available for receiving submissions to this Special Section from April 04, 2025. Please refer to the Guide for Authors to prepare your manuscript, and select the article type of "VSI: 3DOR 2025" when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Computers & Graphics | Journal | ScienceDirect.com by Elsevier.
Timeline:
Submission Open Date *04/04/2025
Final Manuscript Submission Deadline *12/05/2025
Editorial Acceptance Deadline *07/10/2025
Keywords:
3D object retrieval
Content-based 3D object search
Navigation of hybrid datasets
Repository exploration
3D shape classification Exploring generative models
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Volume 111: Special Section: 3DOR 2025 - 18th EG Symposium on 3D Object Retrieval
Last update 6 August 2025
Search engines are the default way in which most people engage with information, as the vast majority of information is born digital. Also, a new wave of information is underway: low-cost 3D scanners, 3D printers, generative models, and powerful modelling software have made 3D models appeal to an increasing audience. Repositories of 3D objects are rapidly growing in both number and size. Yet, exploring such large 3D repositories and retrieving the models of interest remains a challenging problem. It is crucial to develop algorithms for content-based searching of 3D object collections; creating compact and accurate descriptors for 3D objects; creating efficient storage structures for databases of 3D objects; investigating theoretical aspects of practical importance, such as the definition of the similarity concept; interfaces for content-based 3D object search; visualization techniques for 3D search results; real time aspects of techniques and algorithms; new challenges such as faceted 3D browsing, social search, and navigation of hybrid datasets. The complex yet concrete problems above are drawing increasing attention from the research community. This special issue covers techniques from different fields such as Computer Vision, Computer Graphics, Machine Learning, Cognitive Science, and Human-Computer Interaction contributing toward innovative concepts, methods and applications for 3D object retrieval, supporting shape understanding, classification, retrieval, and repository exploration, among others.
- Dr. Niloy J. Mitra - (University College London, London, , United Kingdom)
- Dr. Paul Guerrero - (Adobe Inc, San Jose, California, United States)
- Dr. Ioannis Pratikakis - (Democritus University of Thrace, Komotini, , Greece)
- Dr. Remco Veltkamp - (Utrecht University, Utrecht, , Netherlands)
About this publication
ISSN: 0097-8493
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