TY - GEN
T1 - Enhancing the visibility of labels in 3D navigation maps
AU - Vaaraniemi, Mikael
AU - Freidank, Martin
AU - Westermann, Rüdiger
PY - 2013
Y1 - 2013
N2 - The visibility of relevant labels in automotive navigation systems is critical for orientation in unknown environments However, labels can quickly become occluded, e.g. road names might be hidden by 3D-buildings, and consequently, the visual association between a label and its referencing feature is lost. In this paper we introduce five concepts which guarantee the visibility of occluded labels in 3D navigation maps. Based on the findings of a pre-study, we have determined and implemented the two most promising approaches. The first approach uses a transparent aura to let the label shine through occluding objects. The second method lets the feature, e.g. the roads, glow through the 3D environment, thus re-establishing the visual association. Both methods leave the 3D world intact, preserve visual association, retain the label's readability, and run at interactive rates. A concluding user study validates our approaches for automotive navigation. Compared to our baseline - simply drawing labels over occluding objects - both approaches perform significantly better.
AB - The visibility of relevant labels in automotive navigation systems is critical for orientation in unknown environments However, labels can quickly become occluded, e.g. road names might be hidden by 3D-buildings, and consequently, the visual association between a label and its referencing feature is lost. In this paper we introduce five concepts which guarantee the visibility of occluded labels in 3D navigation maps. Based on the findings of a pre-study, we have determined and implemented the two most promising approaches. The first approach uses a transparent aura to let the label shine through occluding objects. The second method lets the feature, e.g. the roads, glow through the 3D environment, thus re-establishing the visual association. Both methods leave the 3D world intact, preserve visual association, retain the label's readability, and run at interactive rates. A concluding user study validates our approaches for automotive navigation. Compared to our baseline - simply drawing labels over occluding objects - both approaches perform significantly better.
KW - 3D cities
KW - Label
KW - Labeling
KW - Maps
KW - Navigation
KW - Occlusion
KW - Visibility
UR - http://www.scopus.com/inward/record.url?scp=84890030536&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-29793-9_2
DO - 10.1007/978-3-642-29793-9_2
M3 - Conference contribution
AN - SCOPUS:84890030536
SN - 9783642297922
T3 - Lecture Notes in Geoinformation and Cartography
SP - 23
EP - 40
BT - Progress and New Trends in 3D Geoinformation Sciences
PB - Kluwer Academic Publishers
T2 - 7th International Workshop on 3D Geoinformation
Y2 - 16 May 2012 through 17 May 2012
ER -