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Page "Centroid" ¶ 42
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centroid and each
The normalized normal force coefficient derivative with respect to the angle of attack of each component multiplied by the location of the center of pressure can be used to compute a centroid representing the total center of pressure.
The centroid of a plane figure can be computed by dividing it into a finite number of simpler figures, computing the centroid and area of each part, and then computing
For example, the theorem from the plane geometry of triangles about the concurrence of the lines joining each vertex to the midpoint of the opposite side ( at the centroid or barycenter ) depends on the notions of mid-point and centroid as affine invariants.
For the mean-square error distortion criterion, it can be easily shown that the optimal set of reconstruction values is given by setting the reconstruction value within each interval to the conditional expected value ( also referred to as the centroid ) within the interval, as given by:
which places each reconstruction value at the centroid ( conditional expected value ) of its associated classification interval.
The grayscale value of each pixel can be used to provide sub-pixel accuracy by finding the centroid of the Gaussian.
It then calculates the mean point, or centroid, of each set.
It constructs a new partition by associating each point with the closest centroid.
< td valign =" top "> The image shows the sum of all 50, 000 single images but here with the center of gravity ( centroid ) of each image shifted to the same reference position.
However, the important quantity is the centroid of the time of all returned photons ( assuming the pulse and reflectors are symmetrical ), so any system that can return multiple photons per pulse must record the arrival times of each photon.
This means that a division is made at the half-way point between the centroid of each texel and the centroids of every surrounding texel for the entire texture.
The result is that each texel centroid will have a Voronoi polygon surrounding it.
The centroid divides each median into parts in the ratio 2: 1, with the centroid being twice as close to the midpoint of a side as it is to the opposite vertex.
** Set each face point to be the centroid of all original points for the respective face.
Shapes are scaled to unit centroid size, which is the square root of the summed squared distances of each landmark to the centroid.
It then calculates the average point, or centroid, of each set via some metric ( usually averaging dimensions in Euclidean space ).
It constructs a new partition by associating each point with the closest centroid, usually using the Euclidean distance function.

centroid and can
The rule outputs can be defuzzified using a discrete centroid computation:
* there is no canonical " closest " point on a triangle ( e. g.: no matter whether one sorts triangles by their centroid or closest point or furthest point, one can always find two triangles A and B such that A is " closer " but in reality B should be drawn first ).
This method can be extended ( in theory ) to concave shapes where the centroid lies outside the shape, and to solids ( of uniform density ), but the positions of the plumb lines need to be recorded by means other than drawing.
For convex two-dimensional shapes, the centroid can be found by balancing the shape on a smaller shape, such as the top of a narrow cylinder.
In principle, progressively narrower cylinders can be used to find the centroid to arbitrary accuracy.
The centroid of a subset X of can also be computed by the integral
Seal face properties such as: balance diameter, centroid location, surface area, surface finish, drive mechanism, and face topography can be altered to achieve specific results in a variety of liquids.
In plane geometry, and in particular, area surveying, Green's theorem can be used to determine the area and centroid of plane figures solely by integrating over the perimeter.
The linear position can be represented by a vector with its tail at an arbitrary reference point in space ( the origin of a chosen coordinate system ) and its tip at an arbitrary point of interest on the rigid body, typically coinciding with its center of mass or centroid.
Then the sentences can be ranked with regard to their similarity to this centroid sentence.
When a target is known to be single, its location can be determined with higher precision than the image width by finding the centroid ( center of gravity ) of its image light distribution.
Sub-pixel Image Localizationl The location of a single source can be determined by computing the " center of gravity " ( centroid ) of the light distribution extending over several adjacent pixels ( see figure on the left ).

centroid and be
Timbre researchers consider brightness to be one of the perceptually strongest distinctions between sounds, and formalize it acoustically as an indication of the amount of high-frequency content in a sound, using a measure such as the spectral centroid.
The centroid of a uniform two-dimensional lamina, such as ( a ) below, may be determined, experimentally, by using a plumbline and a pin to find the center of mass of a thin body of uniform density having the same shape.
A centroid may be moved because 200-car freight trains often block a railroad crossing used to access a particular zone.
The distance between the mass centroid of the car and the suspension roll centre were designed to be the same front and rear to avoid unwanted weight transfer effects.
Put simply, the centroid is the point at which a cardboard cut-out of the area could be perfectly balanced on the tip of a pencil.
Consider a triangle ABC Let D be the midpoint of, E be the midpoint of, F be the midpoint of, and O be the centroid.

centroid and found
The solution for D86 is found by computing the area of increasingly larger circles around the centroid until the area contains 0. 86 of the total power.
Simple properties of the image which are found via image moments include area ( or total intensity ), its centroid, and information about its orientation.

centroid and any
For density estimation, the area / volume that is closer to a particular centroid than to any other is inversely proportional to the density ( due to the density matching property of the algorithm ).
The definition extends to any object X in n-dimensional space: its centroid is the intersection of all hyperplanes that divide X into two parts of equal moment.
Euler showed in 1765 that in any triangle, the orthocenter, circumcenter and centroid are collinear.
This polygon region consists of all points that are closer to its texel centroid than any other centroid.
Thus the object would balance on any line through the centroid, including any median.
Next, the relationship between the heavy solid and the light solid must be such that any orientation of the object off of the vertical axis line must cause the object's centroid to raise and to become offset.
In theory, it is not possible to have a Weeble with a centroid that is too low to achieve a stable mechanical equilibrium as long as moving the object into any position away from this equilibrium causes that centroid to both go up and to no longer occur along the vertical axis.
In any given triangle, the circumcenter is always collinear with the centroid and orthocenter.

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