We present new algorithms for labeling a set P of n points in the plane with labels that are aligned to the left of the bounding box of P. The points are connected to their labels by curves (leaders) that consist of two segments: a horizontal segment, and a second segment at a fixed angle with the first. Our algorithm finds a collection of non-intersecting leaders that minimizes the total number of bends, the total length, or any other ‘badness’ function of the leaders. An experimental evaluation of the performance is included. This work was started on the 9th "Korean" Workshop on Computational Geometry and Geometric Networks at Schloss Dagstuhl, Germany, 2006
Boundary labeling is a relatively new labeling method. It can be useful in automating the production...
In this paper we study many-to-one boundary labeling with backbone leaders. In this model, a horizon...
In this paper, we present boundary labeling, a new approach for labeling point sets with large label...
We present new algorithms for labeling a set P of n points in the plane with labels that are aligned...
We present new algorithms for labeling a set $P$ of $n$ points in the plane with labels that are ali...
In the Boundary Labeling problem, we are given a set of n points, referred to as sites, inside an ax...
In the Boundary Labeling problem, we are given a set of n points, referred to as sites, inside an ax...
Given a set of n points (sites) inside a rectangle R and n points (label locations or ports) on its ...
We introduce boundary labeling, a new model for labeling point sites with large labels. According to...
Given a set of n points (sites) inside a rectangle R and n points (label locations or ports) on its ...
AbstractWe introduce boundary labeling, a new model for labeling point sites with large labels. Acco...
In boundary labeling, each point site is uniquely connected to a label placed on the boundary of an ...
We study a boundary labeling problem, where multiple points may connect to the same label. In this n...
Boundary labeling is an important variant of information visualization which has found many applicat...
In this paper, we present boundary labelling, a new approachfor labelling point sets with large labe...
Boundary labeling is a relatively new labeling method. It can be useful in automating the production...
In this paper we study many-to-one boundary labeling with backbone leaders. In this model, a horizon...
In this paper, we present boundary labeling, a new approach for labeling point sets with large label...
We present new algorithms for labeling a set P of n points in the plane with labels that are aligned...
We present new algorithms for labeling a set $P$ of $n$ points in the plane with labels that are ali...
In the Boundary Labeling problem, we are given a set of n points, referred to as sites, inside an ax...
In the Boundary Labeling problem, we are given a set of n points, referred to as sites, inside an ax...
Given a set of n points (sites) inside a rectangle R and n points (label locations or ports) on its ...
We introduce boundary labeling, a new model for labeling point sites with large labels. According to...
Given a set of n points (sites) inside a rectangle R and n points (label locations or ports) on its ...
AbstractWe introduce boundary labeling, a new model for labeling point sites with large labels. Acco...
In boundary labeling, each point site is uniquely connected to a label placed on the boundary of an ...
We study a boundary labeling problem, where multiple points may connect to the same label. In this n...
Boundary labeling is an important variant of information visualization which has found many applicat...
In this paper, we present boundary labelling, a new approachfor labelling point sets with large labe...
Boundary labeling is a relatively new labeling method. It can be useful in automating the production...
In this paper we study many-to-one boundary labeling with backbone leaders. In this model, a horizon...
In this paper, we present boundary labeling, a new approach for labeling point sets with large label...