Search engines are now 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, and powerful modeling software have made 3D models appeal to an increasing audience. Repositories of 3D objects are rapidly growing in both number and size. Yet, the task of exploring such large 3D repositories and retrieving the models of interest remains a challenging problem. Indeed, traditional information access techniques have been shown inadequate to deal with 3D content. Therefore, 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.
The aim of the 3DOR Workshop series is to stimulate researchers from different fields such as Computer Vision, Computer Graphics, Machine Learning, Cognitive Science and Human-Computer Interaction who work on or are interested in 3D object retrieval search and exploration, to present state-of-the-art work in the field or learn about it and participate in discussions. This will provide a cross-fertilization that will stimulate discussions on the next steps in this important research area. 3DOR 2017 will be the 10th workshop in this series.
3DOR 2017 will be a 2-day event and will contain the following tracks: research paper presentations, posters, keynote speeches and EU project presentations and networking. The 3DOR Workshop proceedings are indexed by SCOPUS. This year, extended versions of the full papers will be submitted for a special issue of Computers and Graphics published by Elsevier.
3D shape analysis
3D shape similarity and matching
3D video retrieval
3D mobile media retrieval
3D object retrieval and Web3D
3D search in large scale data
Personalized 3D search
3D object classification, indexing, and mining
Similarity of non-rigid shapes
Shape correspondence
Feature extraction, decomposition, and segmentation
Multi-scale representations for matching and retrieval
Partial, part-in-whole, and many-to-many matching
Matching under uncertainty and noise
Semantics-driven 3D object retrieval and classification
Sketch-based retrieval
Query interfaces and search modalities
Benchmarking issues
Deep learning for 3D shape retrieval
Generative/discriminative approaches in 3D object categorization
Applications in multimedia, CAD, architecture, games, biometrics, e-science, e-learning, medicine, biology, and cultural heritage
04月23日
2017
04月24日
2017
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