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Title Improving 3D Similarity Search by Enhancing and Combining 3D Descriptors
Authors Benjamin Bustos, Tobias Schreck, Michael Walter, Juan Manuel Barrios, Matthias Schaefer, Daniel Keim
Publication date May 2012
Abstract Effective content-based retrieval in 3D model databases is
an
important
problem that has attracted much research attention over the last years. Many
individual methods proposed to date rely on calculating global 3D model
descriptors
based on image, surface, volumetric, or structural model properties.
Descriptors such
as these are then input for determining the degree of similarity between
models.
Traditionally, the ability of individual descriptors to perform effective 3D
search is
decided by benchmarking. However, in practice the data set on which 3D
retrieval
is to be applied may differ from the characteristics of the respective
benchmark.
Therefore, statically determining the descriptor to use based on a fixed
benchmark
may lead to suboptimal results. We propose a generic strategy to improve the
retrieval
effectiveness in 3D retrieval systems consisting of multiple model
descriptors.
The specific contribution of this paper is two-fold. First, we propose to
adaptively
combine multiple descriptors by forming weighted descriptor combinations,
where
the weight of each descriptor is decided at query time. Second, we enhance
the
set of global model descriptors to be combined by including partial
descriptors of
the same kind in the combinations. Partial descriptors are obtained by
applying a
given descriptor extractor on the set of parts of a model, obtained by a
simple model
partitioning scheme. Thereby, more model information is exposed to the 3D
descriptors,
leading to a more complete object description. We give a systematic
discussion
of the descriptor combination space involving static and query-adaptive
weighting
schemes, and based on descriptors of different type and focus (model global
vs.
partial). The combination of both global and partial model descriptors is
shown to
deliver improved retrieval precision, compared to policies using single
descriptors or
fixed-weight combinations. The resulting scheme is generic and can
accommodate
a large class of global 3D model descriptors.
Pages 81-108
Volume 58
Journal name Multimedia Tools and Applications
Publisher Springer (New York, NY, USA)
Reference URL View reference page