TY - GEN
T1 - Hedgehog labeling
T2 - 21st IEEE Virtual Reality Conference, VR 2014
AU - Tatzgern, Markus
AU - Kalkofen, Denis
AU - Grasset, Raphael
AU - Schmalstieg, Dieter
PY - 2014/4/24
Y1 - 2014/4/24
N2 - Annotations of objects in 3D environments are commonly controlled using view management techniques. State-of-the-art view management strategies for external labels operate in 2D image space. This creates problems, because the 2D view of a 3D scene changes over time, and temporal behavior of elements in a 3D scene is not obvious in 2D image space. We propose managing the placement of external labels in 3D object space instead. We use 3D geometric constraints to achieve label placement that fulfills the desired objectives (e.g., avoiding overlapping labels), but also behaves consistently over time as the viewpoint changes. We propose two geometric constraints: a 3D pole constraint, where labels move along a 3D pole sticking out from the annotated object, and a plane constraint, where labels move in a dominant plane in the world. This formulation is compatible with standard optimization approaches for labeling, but overcomes the lack of temporal coherence.
AB - Annotations of objects in 3D environments are commonly controlled using view management techniques. State-of-the-art view management strategies for external labels operate in 2D image space. This creates problems, because the 2D view of a 3D scene changes over time, and temporal behavior of elements in a 3D scene is not obvious in 2D image space. We propose managing the placement of external labels in 3D object space instead. We use 3D geometric constraints to achieve label placement that fulfills the desired objectives (e.g., avoiding overlapping labels), but also behaves consistently over time as the viewpoint changes. We propose two geometric constraints: a 3D pole constraint, where labels move along a 3D pole sticking out from the annotated object, and a plane constraint, where labels move in a dominant plane in the world. This formulation is compatible with standard optimization approaches for labeling, but overcomes the lack of temporal coherence.
UR - http://www.scopus.com/inward/record.url?scp=84900534143&partnerID=8YFLogxK
U2 - 10.1109/VR.2014.6802046
DO - 10.1109/VR.2014.6802046
M3 - Conference contribution
AN - SCOPUS:84900534143
SN - 9781479928712
T3 - Proceedings - IEEE Virtual Reality
SP - 27
EP - 32
BT - 2014 IEEE Virtual Reality, VR 2014 - Proceedings
PB - Institute of Electrical and Electronics Engineers
Y2 - 29 March 2014 through 2 April 2014
ER -