Special Section on 3DOR2020 - 13th EG 3D Object Retrieval Workshop
摘要截稿:
全文截稿: 2020-04-30
影响因子: 1.351
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 4区
• 小类 : 计算机:软件工程 - 4区
Overview
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 modelling software have made 3D models appeal to an increasing audience. Repositories of 3D objects are rapidly growing in both number and size. Time-depending acquisition, animation and simulation give rise to 3D objects as a function of time, yielding 4D objects. Yet, the task of exploring such large 3D/4D object 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.
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 2020 will be the 13th workshop in this series.
The workshop will also feature the 3D Shape Retrieval Contest (SHREC) 2020. The general objective of the 3D Shape Retrieval Contest is to evaluate the effectiveness of 3D-shape retrieval algorithms. SHREC 2020 is the 15th edition of the contest. Like previous years, it is organized in conjunction with the Eurographics Workshop on 3D Object Retrieval, where the results will be reviewed by a two stage-review process (see below). A separate call for participation will be issued shortly.
Authors are invited to submit original and unpublished research and application papers addressing all areas of 3D/4D Object Retrieval. We also invite state of the art papers on specific topics of interest[TS1] . Submissions are invited in the form of full papers, which will be peer-reviewed by a two-stage review process, and published as a special section of Computers and Graphics Journal (Elsevier). The workshop also invites short and poster papers which will be published as part of the workshop proceedings.[TS2]
Suggested topics include, but are not limited to:
3D/4D shape analysis
3D/4D shape similarity and matching
3D/4D mesh sequence retrieval
3D/4D mobile media retrieval
3D/4D search in large scale data
3D/4D object classification, indexing, and mining
Similarity of non-rigid shapes
Shape correspondence
3D/4D shape decomposition, and segmentation
Partial, part-in-whole, and many-to-many matching
Matching under uncertainty and noise
Semantics-driven 3D/4D object retrieval and classification
Sketch-based retrieval
Query interfaces and search modalities
Benchmarking issues
Deep learning for 3D/4D shape retrieval
Generative/discriminative approaches in 3D object categorization