'misspelled' visual words in unsupervised range data classification: the effect of noise on classification performance
Recent work in the domain of classification of point clouds has shown that topic models can be suitable tools for inferring class groupings in an unsupervised manner. However, point clouds are frequently subject to non-negligible amounts of sensor noise. In this paper, we analyze the effect on class...
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Published in | 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 3850 - 3855 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2011
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Subjects | |
Online Access | Get full text |
ISBN | 1612844545 9781612844541 |
ISSN | 2153-0858 |
DOI | 10.1109/IROS.2011.6095016 |
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