KEYWORDS: Clouds, Reconstruction algorithms, 3D modeling, LIDAR, 3D acquisition, 3D scanning, 3D image processing, Data modeling, Data acquisition, Detection and tracking algorithms
As for the characteristic of the data acquired by laser radar and the three dimentional point cloud in disorder, and by
combining the abundant in three dimentional information of point cloud with the specific textural information of distance
images, we raised a new algorithm on the reconstruction of laser radar based on simplified point cloud and distance
images. In this article, we take advantage of the feature that Delaunay triangulation have to raise a simplified algorithm
to achieve the model network. In this algorithm, at first we build up the Delaunay triangulation, then comfirm the vector
by calculating the distance that every vertex in the network from the adjacency vertex, and then calculate the intersection
angle that the vector with triangle around; at the same time set the angular threshold in order to generate the new
Delaunay triangulation. Experimental results show that this algorithm can accomplish the simplication of triangulation
without affecting the accuracy of the modeling, along with the detailed, textural and shading information, we can achieve
3D reconstruction of the target images effectively.
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.