Abstract:
Richer types of multimedia such as
audio, video and 3D objects are becoming more
and more common place. However, current
retrieval techniques in these areas are not as
sophisticated as textual and 2D image
techniques and in many cases rely upon textual
searching through associated keywords. The
work presented in this paper aims to retrieve
similar 3D shapes from the large number of 3D
object datasets. Firstly three virtual views, top
view, side view and front view, of an object are
extracted from 3D objects to perform dimension
reduction of 3D model into 2D model. Secondly,
we extract the features of the shape by
calculating the ratios of virtual views of an
object using Euclidean distance. For searching
shape similarity, k-nearest neighbor algorithm
is applied. To demonstrate the efficiency of
proposed system regarding the computational
aspects and retrieval performance, we tested
the proposed system on NTU 3D model
database.
