Abstract
Let P be an orthogonal polygon with n vertices. A sliding camera travels back and forth along an orthogonal line segment s⊆P corresponding to its trajectory. The camera sees a point p∈P if there is a point q∈s such that pq‾ is a line segment normal to s that is completely contained in P. In the Minimum-Cardinality Sliding Cameras (MCSC) problem, the objective is to find a set S of sliding cameras of minimum cardinality to guard P (i.e., every point in P can be seen by some sliding camera in S), while in the Minimum-Length Sliding Cameras (MLSC) problem the goal is to find such a set S so as to minimize the total length of trajectories along which the cameras in S travel. In this paper, we answer questions posed by Katz and Morgenstern (2011) by presenting the following results: (i) the MLSC problem is polynomially tractable even for orthogonal polygons with holes, (ii) the MCSC problem is NP-complete when P is allowed to have holes, and (iii) an O(n3logn)-time 2-approximation algorithm for the MCSC problem on [NE]-star-shaped orthogonal polygons with n vertices (similarly, [NW]-, [SE]-, or [SW]-star-shaped orthogonal polygons).
| Original language | English |
|---|---|
| Pages (from-to) | 12-26 |
| Number of pages | 15 |
| Journal | Computational Geometry: Theory and Applications |
| Volume | 65 |
| DOIs | |
| State | Published - 1 Oct 2017 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2017 Elsevier B.V.
Keywords
- Approximation algorithms
- Orthogonal art galleries
- Sliding cameras
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