By Topic

Surface reconstruction methods for the recovery of 3D models from underwater interest areas

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Ricard Campos ; Computer Vision and Robotics Group, University of Girona, 17071, Spain ; Rafael Garcia ; Tudor Nicosevici

3D models of seafloor interest areas having a strong 3D relief are a rich source of information for scientists. In the recent years, the computer vision community has been developing techniques to achieve the discrete reconstruction of these interest areas from a set of images. However, 3D reconstruction methods output a 3D point cloud as a representation of the shape of the observed object/area. This representation lacks connectivity information, and a surface that describes the underlying object is needed for both performing computations on the object and to achieve its correct visualization. In this article we aim to survey the State-of-the-Art of the problem of reconstructing the surface of an object represented by a cloud of points. This set of points is assumed to be the result of a Computer Vision based 3D reconstruction pipeline.

Published in:

OCEANS 2011 IEEE - Spain

Date of Conference:

6-9 June 2011