D. Sokolov, and D. Plemeno. Journal of Virtual Reality and Broadcasting, (August 2006)ISSN 1860-2037.
Abstract
Virtual worlds exploration techniques are used in a wide variety of domains — from graph drawing to robot motion. This paper is dedicated to virtual world exploration techniques which have to help a human being to understand a 3D scene. An improved method of viewpoint quality estimation is presented in the paper, together with a new off-line method for automatic 3D scene exploration, based on a virtual camera. The automatic exploration method is working in two steps. In the first step, a set of “good” viewpoints is computed. The second step uses this set of points of view to compute a camera path around the scene. Finally, we define a notion of semantic distance between objects of the scene to improve the approach.
%0 Journal Article
%1 sp06
%A Sokolov, Dmitry
%A Plemeno, Dimitri
%D 2006
%E Herder, Jens
%J Journal of Virtual Reality and Broadcasting
%K 3(2006)12 3.2006 Automatic_Virtual_Camera DiPP Digital_Peer_Publishing_Initiative GRAPP2006 Good_Point_of_View JVRB Journal_of_Virtual_Reality_and_Broadcasting Open_Access Peer_Reviewed Scene_Understanding [SP06]
%N 12
%T High level methods for scene exploration
%U urn:nbn:de:0009-6-11144
%V 3
%X Virtual worlds exploration techniques are used in a wide variety of domains — from graph drawing to robot motion. This paper is dedicated to virtual world exploration techniques which have to help a human being to understand a 3D scene. An improved method of viewpoint quality estimation is presented in the paper, together with a new off-line method for automatic 3D scene exploration, based on a virtual camera. The automatic exploration method is working in two steps. In the first step, a set of “good” viewpoints is computed. The second step uses this set of points of view to compute a camera path around the scene. Finally, we define a notion of semantic distance between objects of the scene to improve the approach.
@article{sp06,
abstract = {Virtual worlds exploration techniques are used in a wide variety of domains — from graph drawing to robot motion. This paper is dedicated to virtual world exploration techniques which have to help a human being to understand a 3D scene. An improved method of viewpoint quality estimation is presented in the paper, together with a new off-line method for automatic 3D scene exploration, based on a virtual camera. The automatic exploration method is working in two steps. In the first step, a set of “good” viewpoints is computed. The second step uses this set of points of view to compute a camera path around the scene. Finally, we define a notion of semantic distance between objects of the scene to improve the approach.},
added-at = {2007-10-24T12:57:01.000+0200},
author = {Sokolov, Dmitry and Plemeno, Dimitri},
biburl = {https://www.bibsonomy.org/bibtex/26b8a430cb11ab8efdbb5daeda1f990f3/jvrb_regulski},
editor = {Herder, Jens},
interhash = {ff5b7630730135d6c079a3f673f8b568},
intrahash = {6b8a430cb11ab8efdbb5daeda1f990f3},
journal = {Journal of Virtual Reality and Broadcasting},
keywords = {3(2006)12 3.2006 Automatic_Virtual_Camera DiPP Digital_Peer_Publishing_Initiative GRAPP2006 Good_Point_of_View JVRB Journal_of_Virtual_Reality_and_Broadcasting Open_Access Peer_Reviewed Scene_Understanding [SP06]},
month = aug,
note = {ISSN 1860-2037},
number = 12,
timestamp = {2007-10-24T13:01:37.000+0200},
title = {High level methods for scene exploration},
url = {urn:nbn:de:0009-6-11144},
volume = 3,
year = 2006
}