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In computational geometry, the smallest enclosing box problem is that of finding the oriented minimum bounding box enclosing a set of points. It is a type of bounding volume. "Smallest" may refer to volume, area, perimeter, etc. of the box. It is sufficient to find the smallest enclosing box for the convex hull of the objects in question. It is ...
A sphere enclosed by its axis-aligned minimum bounding box (in 3 dimensions) In geometry, the minimum bounding box or smallest bounding box (also known as the minimum enclosing box or smallest enclosing box) for a point set S in N dimensions is the box with the smallest measure (area, volume, or hypervolume in higher dimensions) within which all the points lie.
One of O'Rourke's early results was an algorithm for finding the minimum bounding box of a point set in three dimensions when the box is not required to be axis-aligned. The problem is made difficult by the fact that the optimal box may not share any of its face planes with the convex hull of the point set.
A series of geometric shapes enclosed by its minimum bounding rectangle. In computational geometry, the minimum bounding rectangle (MBR), also known as bounding box (BBOX) or envelope, is an expression of the maximum extents of a two-dimensional object (e.g. point, line, polygon) or set of objects within its x-y coordinate system; in other words min(x), max(x), min(y), max(y).
2-D case: Smallest bounding rectangle (Smallest enclosing rectangle) There are two common variants of this problem. In many areas of computer graphics, the bounding box (often abbreviated to bbox) is understood to be the smallest box delimited by sides parallel to coordinate axes which encloses the objects in question.
It is minimal if for all boxes [x], we have ([]) = [[]], where [A] is the interval hull of the set A, i.e., the smallest box enclosing A. The contractor C is thin if for all points x , C ( { x } ) = { x } ∩ X {\displaystyle C(\{x\})=\{x\}\cap X} where { x } denotes the degenerated box enclosing x as a single point.
The most efficient way to pack different-sized circles together is not obvious. In geometry, circle packing is the study of the arrangement of circles (of equal or varying sizes) on a given surface such that no overlapping occurs and so that no circle can be enlarged without creating an overlap.
Some instances of the smallest bounding circle, the case of the bounding sphere in 2 dimensions.. In mathematics, given a non-empty set of objects of finite extension in -dimensional space, for example a set of points, a bounding sphere, enclosing sphere or enclosing ball for that set is a -dimensional solid sphere containing all of these objects.