High level methods for scene exploration

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.

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Publication Details

Journal
Hochschule Düsseldorf
Published
2024-11-27
DOI
https://doi.org/10.20385/1860-2037/3.2006.12
Citations
13
Primary Topic
Advanced Vision and Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

High level methods for scene exploration

Dmitry Sokolov, Dimitri Plemenos
13 citations
Hochschule Düsseldorf
Advanced Vision and Imaging
article

High level methods for scene exploration

Dmitry Sokolov, Dimitri Plemenos
article en
13 citations

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.

Hochschule DüsseldorfVol. 3(12)
XLIM (FR), Université de Limoges (FR)
Openalex Percentile: Top 100%
Advanced Vision and Imaging
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