Premium
Efficient view selection by measuring proxy information
Author(s) -
Gao Tianhao,
Wang Wencheng,
Han Honglei
Publication year - 2016
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.1698
Subject(s) - computer science , proxy (statistics) , selection (genetic algorithm) , data mining , measure (data warehouse) , principal component analysis , model selection , principal (computer security) , artificial intelligence , machine learning , operating system
View selection aims at finding good views that can watch model information as much as possible. However, existing view evaluation methods used to measure model properties are generally complex and very time‐consuming. In this paper, we address this challenge by generating succinct proxy information to measure the view quality. The proxy information is generated by principal component analysis of the model to obtain its six principal viewing directions and consists of the representative information computed by the principal viewing directions. We discuss and validate the effectiveness of the proxy information for view evaluation. Thus, measuring the proxy information for view evaluation, the time complexity can be reduced as it is independent of the facet number of the model. This is superior to existing methods by straight measurement of model properties and provides acceleration for view selection. Experimental results show that we can obtain good views as state‐of‐the‐art methods and speed up view selection by at least two orders of magnitudes and achieve more acceleration when the models have more facets. Copyright © 2016 John Wiley & Sons, Ltd.