Call for Papers
The aim of the 3DOR workshop series is to offer a forum for discussion and interaction among researchers interested in 3D object retrieval, search and exploration, and favour the cross-fertilization between different fields such as Computer Vision, Computer Graphics, Machine Learning, Cognitive Science and Human-Computer Interaction. Authors are invited to submit original and unpublished research and application papers addressing all areas of 3D object retrieval. Submissions are invited in the form of full papers (up to 8 pages) and short papers presented in a poster session (up to 4 pages).
Suggested topics include, but are not limited to:
- 3D object similarity and matching
- 3D video retrieval
- 3D mobile media retrieval
- 3D object retrieval and Web3D
- 3D search in large scale data
- Personalized and faceted 3D search
- Navigation of hybrid datasets (e.g., 2D/3D datasets)
- 3D object classification, indexing, and mining
- Similarity of non-rigid shapes
- Feature extraction, decomposition, and segmentation
- Multi-level 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
- Relevance feedback methods
- Active learning
- Statistical techniques for 3D shape analysis and retrieval
- Generative/discriminative approaches in 3D object categorization
- Applications in multimedia, CAD, architecture, games, biometrics, e-science, e-learning, medicine, biology, and cultural heritage.
This year’s workshop will also feature the 11th Shape Retrieval Contest (ShReC’2016). A separate call for track proposals are available. More info at ShReC'2016 homepage.
It is planned to have extended versions of selected papers from the Workshop appearing, after a further review, in a special issue of an international journal. Selected papers from previous workshops appeared in special issues of The Visual Computer (TVC) journal.