Efficient computation of minimum-area rectilinear convex hull under rotation and generalizations
Carlos Alegr\'ia-Galicia, David Orden, Carlos Seara, Jorge Urrutia

TL;DR
This paper presents an efficient algorithm to compute the rotation angle that minimizes or maximizes the area of the rectilinear convex hull of a point set, improving previous bounds to optimal $O(n ext{log} n)$ time.
Contribution
It introduces a novel $O(n ext{log} n)$ algorithm for optimal rotation of rectilinear convex hulls, extending to generalizations involving $ heta$-convex hulls and multiple line sets.
Findings
Achieved $O(n ext{log} n)$ time complexity for minimum-area rectilinear convex hull rotation.
Extended algorithms to handle $ heta$-convex hulls with multiple line orientations.
Provided methods to compute and maintain convex hull boundaries under rotation.
Abstract
Let be a set of points in the plane. We compute the value of for which the rectilinear convex hull of , denoted by , has minimum (or maximum) area in optimal time and space, improving the previous bound. Let be a set of lines through the origin sorted by slope and let be the sizes of the angles defined by pairs of two consecutive lines, . Let and . We obtain: (1) Given a set such that , we provide an algorithm to compute the -convex hull of in optimal time and space; If , the time and space complexities are and respectively. (2) Given…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Digital Image Processing Techniques · Robotics and Sensor-Based Localization
