SHREC'08 entry: Training set expansion via autotags

Articles:

Title:: SHREC'08 entry: Training set expansion via autotags
Author(s):: Goldfeder, Corey
Feng, Haoyun
Allen, Peter K.
Date:: 2008
Type:: Articles
Department:: Computer Science
Permanent URL:: http://hdl.handle.net/10022/AC:P:15130
Book/Journal Title:: IEEE International Conference on Shape Modeling and Applications 2008: Stony Brook, New York, USA, June 4-6, 2008: Proceedings
Book Author:: Spagnuolo, Michela
Publisher:: IEEE
Publisher Location:: Piscataway, N.J.
Abstract:: Training a 3D model classifier on a small dataset is very challenging. However, large datasets of partially classified models are now commonly available online. We use an external training set of models with associated text tags to automatically assign tags to both training and query models. The similarity between these tags, used in conjunction with a standard shape descriptor, yields a multiclassifier that outperforms the standalone shape descriptor.
Subject(s):: Robotics
Artificial intelligence
DOI:: http://dx.doi.org/10.1109/SMI.2008.4547983