Agent-based target detection in 3-dimensional environments
dc.contributor.advisor | Darken, Christian J. | |
dc.contributor.author | Correia, J. Steve | |
dc.date | March 2005 | |
dc.date.accessioned | 2012-03-14T17:34:47Z | |
dc.date.available | 2012-03-14T17:34:47Z | |
dc.date.issued | 2005-03 | |
dc.identifier.uri | https://hdl.handle.net/10945/2300 | |
dc.description.abstract | Visual perception modeling is generally weak for game AI and computer generated forces (CGF), or agents, in computer games and military simulations. Several tricks and shortcuts are used in perceptual modeling. The results are, under certain conditions, unrealistic behaviors that negatively effect user immersion in games and call into question the validity of calculations in fine resolution military simulations. By determining what the computer-generated agent sees using methods similar to that used to generate the human players' screen view in 3- D virtual environments, we hope to present a method that can more accurately model human visual perception, specifically the major problem of a entity "hiding in plain sight" | en_US |
dc.description.uri | http://archive.org/details/agentbasedtarget109452300 | |
dc.format.extent | xiv, 47 p. | en_US |
dc.publisher | Monterey, California. Naval Postgraduate School | en_US |
dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | en_US |
dc.subject.lcsh | Artificial intelligence | en_US |
dc.subject.lcsh | Military applications | en_US |
dc.subject.lcsh | Visual perception | en_US |
dc.subject.lcsh | War | en_US |
dc.subject.lcsh | Computer simulation | en_US |
dc.subject.lcsh | Visual programming (Computer science) | en_US |
dc.title | Agent-based target detection in 3-dimensional environments | en_US |
dc.type | Thesis | en_US |
dc.contributor.secondreader | Crowson, Jeff | |
dc.contributor.corporate | Naval Postgraduate School | |
dc.contributor.department | MOVES Academic Committee | |
dc.subject.author | Perceptual modeling | en_US |
dc.subject.author | Target detection | en_US |
dc.subject.author | Artificial intelligence | en_US |
dc.subject.author | Non-player characters | en_US |
dc.subject.author | Synthetic players | en_US |
dc.description.service | Lieutenant, United States Navy | en_US |
etd.thesisdegree.name | M.S. in Modeling, Virtual Environments and Simulation | en_US |
etd.thesisdegree.level | Masters | en_US |
etd.thesisdegree.discipline | Modeling, Virtual Environments, and Simulation Institute (MOVES) | en_US |
etd.thesisdegree.grantor | Naval Postgraduate School | en_US |
etd.verified | no | en_US |
dc.description.distributionstatement | Approved for public release; distribution is unlimited. |
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