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SHREC'08 entry: Training set expansion via autotags

Corey Goldfeder; Haoyun Feng; Peter K. Allen

Title:
SHREC'08 entry: Training set expansion via autotags
Author(s):
Goldfeder, Corey
Feng, Haoyun
Allen, Peter K.
Date:
Type:
Articles
Department:
Computer Science
Permanent URL:
Book/Journal Title:
IEEE International Conference on Shape Modeling and Applications 2008: Stony Brook, New York, USA, June 4-6, 2008: Proceedings
Publisher:
IEEE
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
Publisher DOI:
http://dx.doi.org/10.1109/SMI.2008.4547983
Item views:
70
Metadata:
text | xml

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