Saiful Akbar, Roland Wagner, Josef Küng,
"Multi-feature Integration on 3D Model Similarity Retrieval"
: 1st International Conference on Digital Information Management (ICDIM), India, December 2006, 12-2006, Saiful Akbar, Josef Küng, Roland Wagner: Multi-feature Integration on 3D Model Similarity Retrieval, The 1st International Conference on Digital Information Management, ICDIM 2006, India, December 2006
Original Titel:
Multi-feature Integration on 3D Model Similarity Retrieval
Sprache des Titels:
Englisch
Original Buchtitel:
1st International Conference on Digital Information Management (ICDIM), India, December 2006
Original Kurzfassung:
In this paper, we describe several 3D shape
descriptors for 3D model retrieval and integrate
them in order to obtain higher performance than
single descriptor may yield. We analyze four feature
vector (FV) integration approaches: Pure FV
Integration (PFI), Reduced FV Integration (RFI),
Distance Integration (DI), and Rank Integration
(RI). We observe which weighting factor might be the
best for each approach. Our experiments show that
the weighting factors consistently enhance the
retrieval performance on not only training dataset,
but also another extended dataset. Our experiments
also highlight that RFI, which is obviously useful for
processing unknown query object, is the best among
the others. In another side, DI provides faster
processing as it uses pre-computed distance, but
does not have a capability of processing unknown
query object. Hence, both approaches could be
combined in order to obtain higher efficiency and
effectiveness of 3D model retrieval system for either
known or unknown query object.
Sprache der Kurzfassung:
Deutsch
Erscheinungsmonat:
12
Erscheinungsjahr:
2006
Notiz zum Zitat:
Saiful Akbar, Josef Küng, Roland Wagner: Multi-feature Integration on 3D Model Similarity Retrieval, The 1st International Conference on Digital Information Management, ICDIM 2006, India, December 2006
Forschungs-