LEADER 02333oam 2200457zu 450 001 9910141067003321 005 20241212220149.0 010 $a9781467300599 010 $a1467300594 010 $a9781467300582 010 $a1467300586 035 $a(CKB)2670000000131686 035 $a(SSID)ssj0001034662 035 $a(PQKBManifestationID)12486317 035 $a(PQKBTitleCode)TC0001034662 035 $a(PQKBWorkID)11017310 035 $a(PQKB)10872095 035 $a(NjHacI)992670000000131686 035 $a(EXLCZ)992670000000131686 100 $a20160829d2011 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2011 IEEE International Symposium on Mixed and Augmented Reality 210 31$a[Place of publication not identified]$cIEEE$d2011 215 $a1 online resource (110 pages) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781467300575 311 08$a1467300578 330 $aMixed and Augmented Reality displays extend the user's perception with computer generated information. This information is typically registered in three-dimensional space, and related to objects and places in the physical world. While individual annotation of objects has historically been a topic of MR research, visualization incorporating multiple related data points or models provides a variety of new research challenges in systems and techniques. For example, photorealistic augmented reality visualization presents data by adapting additionally presented imagery to the real world condition while illustrative visualization techniques aim at enhancing the understanding of augmented scenarios by carefully combining and mediating real and virtual data. Situated visualization techniques present virtual representations of data in relevant locations in the physical scene. A challenge in many of these techniques is the need to correctly communicate the relationships between physical imagery and virtual data. 606 $aAugmented reality$vCongresses 615 0$aAugmented reality 676 $a006.8 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910141067003321 996 $a2011 IEEE International Symposium on Mixed and Augmented Reality$92308208 997 $aUNINA