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  3DString: a feature string kernel for 3D object classification on voxelized data

Assfalg, J., Borgwardt, K., & Kriegel, H.-P. (2006). 3DString: a feature string kernel for 3D object classification on voxelized data. In P. Yu, V. Tsotras, E. Fox, & B. Liu (Eds.), CIKM '06: Proceedings of the 15th ACM International Conference on Information and Knowledge Management (pp. 198-207). New York, NY, USA: ACM Press.

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 Creators:
Assfalg, J, Author
Borgwardt, KM1, Author           
Kriegel, H-P, Author
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1External Organizations, ou_persistent22              

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 Abstract: Classification of 3D objects remains an important task in many areas of data management such as engineering, medicine or biology. As a common preprocessing step in current approaches to classification of voxelized 3D objects, voxel representations are transformed into a feature vector description.In this article, we introduce an approach of transforming 3D objects into feature strings which represent the distribution of voxels over the voxel grid. Attractively, this feature string extraction can be performed in linear runtime with respect to the number of voxels. We define a similarity measure on these feature strings that counts common k-mers in two input strings, which is referred to as the spectrum kernel in the field of kernel methods. We prove that on our feature strings, this similarity measure can be computed in time linear to the number of different characters in these strings. This linear runtime behavior makes our kernel attractive even for large datasets that occur in many application domains. Furthermore, we explain that our similarity measure induces a metric which allows to combine it with an M-tree for handling of large volumes of data. Classification experiments on two published benchmark datasets show that our novel approach is competitive with the best state-of-the-art methods for 3D object classification.

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 Dates: 2006-11
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1145/1183614.1183647
BibTex Citekey: AssfalgBK2006
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Title: 15th ACM International Conference on Information and Knowledge Management (CIKM 2006)
Place of Event: Arlington, VA, USA
Start-/End Date: 2006-11-06 - 2006-11-11

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Title: CIKM '06: Proceedings of the 15th ACM International Conference on Information and Knowledge Management
Source Genre: Proceedings
 Creator(s):
Yu, PS, Editor
Tsotras, VJ, Editor
Fox, EA, Editor
Liu, B, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 198 - 207 Identifier: ISBN: 1-59593-433-2