SHREC'08 entry: Training set expansion via autotags

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.

• Type: Conference
• Year: 2008
• Where: SMI
• Authors: Corey Goldfeder, Haoyun Feng, Peter K. Allen
• Keywords: Image Analysis, Shape Descriptor, SMI 2008, Standalone Shape Descriptor, Standard Shape Descriptor