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Dmitry Sokolov, and Dimitri Plemenos, High level methods for scene exploration. JVRB - Journal of Virtual Reality and Broadcasting, 3(2006), no. 12. (urn:nbn:de:0009-6-11144)
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%0 Journal Article %T High level methods for scene exploration %A Sokolov, Dmitry %A Plemenos, Dimitri %J JVRB - Journal of Virtual Reality and Broadcasting %D 2007 %V 3(2006) %N 12 %@ 1860-2037 %F sokolov2007 %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. %L 004 %K Scene understanding %K automatic virtual camera %K good point of view %R 10.20385/1860-2037/3.2006.12 %U http://nbn-resolving.de/urn:nbn:de:0009-6-11144 %U http://dx.doi.org/10.20385/1860-2037/3.2006.12Download
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@Article{sokolov2007, author = "Sokolov, Dmitry and Plemenos, Dimitri", title = "High level methods for scene exploration", journal = "JVRB - Journal of Virtual Reality and Broadcasting", year = "2007", volume = "3(2006)", number = "12", keywords = "Scene understanding; automatic virtual camera; good point of view", 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.", issn = "1860-2037", doi = "10.20385/1860-2037/3.2006.12", url = "http://nbn-resolving.de/urn:nbn:de:0009-6-11144" }Download
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TY - JOUR AU - Sokolov, Dmitry AU - Plemenos, Dimitri PY - 2007 DA - 2007// TI - High level methods for scene exploration JO - JVRB - Journal of Virtual Reality and Broadcasting VL - 3(2006) IS - 12 KW - Scene understanding KW - automatic virtual camera KW - good point of view AB - 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. SN - 1860-2037 UR - http://nbn-resolving.de/urn:nbn:de:0009-6-11144 DO - 10.20385/1860-2037/3.2006.12 ID - sokolov2007 ER -Download
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PT Journal AU Sokolov, D Plemenos, D TI High level methods for scene exploration SO JVRB - Journal of Virtual Reality and Broadcasting PY 2007 VL 3(2006) IS 12 DI 10.20385/1860-2037/3.2006.12 DE Scene understanding; automatic virtual camera; good point of view AB 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. ERDownload
Mods
<mods> <titleInfo> <title>High level methods for scene exploration</title> </titleInfo> <name type="personal"> <namePart type="family">Sokolov</namePart> <namePart type="given">Dmitry</namePart> </name> <name type="personal"> <namePart type="family">Plemenos</namePart> <namePart type="given">Dimitri</namePart> </name> <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.</abstract> <subject> <topic>Scene understanding</topic> <topic>automatic virtual camera</topic> <topic>good point of view</topic> </subject> <classification authority="ddc">004</classification> <relatedItem type="host"> <genre authority="marcgt">periodical</genre> <genre>academic journal</genre> <titleInfo> <title>JVRB - Journal of Virtual Reality and Broadcasting</title> </titleInfo> <part> <detail type="volume"> <number>3(2006)</number> </detail> <detail type="issue"> <number>12</number> </detail> <date>2007</date> </part> </relatedItem> <identifier type="issn">1860-2037</identifier> <identifier type="urn">urn:nbn:de:0009-6-11144</identifier> <identifier type="doi">10.20385/1860-2037/3.2006.12</identifier> <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-6-11144</identifier> <identifier type="citekey">sokolov2007</identifier> </mods>Download
Full Metadata
Bibliographic Citation | JVRB, 3(2006), no. 12. |
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Title |
High level methods for scene exploration (eng) |
Author | Dmitry Sokolov, Dimitri Plemenos |
Language | eng |
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. |
Subject | Scene understanding, automatic virtual camera, good point of view |
Classified Subjects |
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DDC | 004 |
Rights | DPPL |
URN: | urn:nbn:de:0009-6-11144 |
DOI | https://doi.org/10.20385/1860-2037/3.2006.12 |