The increase in affordable computing power has fostered the creation of 3D models. The field of 3D models is on the
rise with the advent of high speed Internet. Large repositories of 3D models are being created and made public on the
Internet. Searching among these repositories is an obvious requirement. In this paper, we present a total shear invariant
feature vector (SIFV) for searching a 3D model. This feature vector is robust to affine transformations of the original
model. The proposed feature vector is Fourier transform of the histogram of the number of points in the concentric
spheres partitioning the point cloud data of a 3D model.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.