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キーワード:
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要旨:
An approach to automatically select stable and salient representative views of
a given 3D object is proposed. Initially, a set of viewpoints are uniformly
sampled from the surface of a bounding sphere. The sampled viewpoints are
connected to their closest points to form a spherical graph in which each edge
is weighted by a similarity measure between the two views from its incident
vertices. Partitions of similar views are obtained using a graph partitioning
procedure and their ``centroids'' are considered to be their representative
views. Finally, the views are ranked based on a saliency measure to form the
object's representative views. This leads to a compact, human-oriented 2D
description of a 3D object, and as such, is useful both for traditional
applications like presentation and analysis of 3D
shapes, and for emerging ones like indexing and retrieval in large shape
repositories.
