As 3D object collections grow in size, due to 3D capture applications and the wider availability of 3D scanners, content-based retrieval grows in importance. 3DOR involves the creation of descriptors that represent the shape and other characteristics of a 3D object in an accurate and compact manner.
A growing number of applications benefit from 3DOR technologies, since they can be cast as inter- or intra-class retrieval problems. These include:
Our team has been active since the inception of this field.
- Eurographics 2016 Workshop on 3DOR, May 7-8, 2015, Lisbon, Portugal
- Eurographics 2015 Workshop on 3DOR, May 2-3, 2015, Zurich, Switzerland
- Eurographics 2014 Workshop on 3DOR, April 6, 2014, Strasbourg, France
- Eurographics 2013 Workshop on 3DOR, May 11, 2013, Girona, Spain
- Eurographics 2012 Workshop on 3DOR, May 13, 2012, Cagliari, Italy
- Eurographics 2011 Workshop on 3DOR, April 10, 2011, Llandudno, UK
- Eurographics 2010 Workshop on 3DOR, May 2, 2010, Norrkoping, Sweden
- Eurographics 2009 Workshop on 3DOR, March 29,2009, Munich, Germany
- Eurographics 2008 Workshop on 3DOR, April 15, 2008, Crete, Greece
- International Journal of Computer Vision (IJCV)
- The Visual Computer (TVC)
Danelakis A., T. Theoharis, I. Pratikakis & P. Perakis, ‘An Effective Methodology for Dynamic 3D Facial Expression Retrieval’, Pattern Recognition, 52, April 2016, pp. 174-185.
Sfikas K., T. Theoharis, I. Pratikakis, ‘ROSy+: 3D Object Pose Normalization based on PCA and Reflective Object Symmetry with Application in 3D Object Retrieval’, International Journal of Computer Vision (IJCV), 91(3), February 2011, pp. 262-279.
Papadakis P., I. Pratikakis, T. Theoharis and S. Perantonis, ‘PANORAMA: A 3D Shape Descriptor based on Panoramic Views for Unsupervised 3D Object Retrieval’, International Journal of Computer Vision (IJCV), 89(2/3), September 2010, pp. 177-192.