KEYWORDS: Clouds, Data modeling, 3D modeling, Reconstruction algorithms, OpenGL, Visualization, Data processing, C++, 3D image processing, Data analysis
A novel and efficient method called marked bounding box method based on marching cubes is presented for the
point cloud data reduction of sole patterns. This method is characterized in that each bounding box is marked with an
index during the process of data reduction and later for use of data reconstruction. The data reconstruction is
implemented from the simplified data set by using triangular meshes, the indices being used to search the nearest points
from adjacent bounding boxes. Afterwards, the normal vectors are estimated to determine the strength and direction of
the surface reflected light. The proposed method is used in a sole pattern classification and query system which uses
OpenGL under Visual C++ to render the image of sole patterns. Digital results are given to demonstrate the efficiency
and novelty of our method. Finally, conclusion and discussions are made.
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.