Search results
Results from the WOW.Com Content Network
In dimension at most three, any improper rigid transformation can be decomposed into an improper rotation followed by a translation, or into a sequence of reflections. Any object will keep the same shape and size after a proper rigid transformation. All rigid transformations are examples of affine transformations. The set of all (proper and ...
Alibi and alias transformations are also known as active and passive transformations, respectively. Pre-multiplication or post-multiplication The same point P can be represented either by a column vector v or a row vector w. Rotation matrices can either pre-multiply column vectors (Rv), or post-multiply row vectors (wR).
A reflection about a line or plane that does not go through the origin is not a linear transformation — it is an affine transformation — as a 4×4 affine transformation matrix, it can be expressed as follows (assuming the normal is a unit vector): [′ ′ ′] = [] [] where = for some point on the plane, or equivalently, + + + =.
The even isometries — identity, rotation, and translation — never do; they correspond to rigid motions, and form a normal subgroup of the full Euclidean group of isometries. Neither the full group nor the even subgroup are abelian ; for example, reversing the order of composition of two parallel mirrors reverses the direction of the ...
The position and orientation of the body at any later time t will be described by the transformation f(t). Since f(0) = I is in E + (3), the same must be true of f(t) for any later time. For that reason, the direct Euclidean isometries are also called "rigid motions".
Let X be an affine space over a field k, and V be its associated vector space. An affine transformation is a bijection f from X onto itself that is an affine map; this means that a linear map g from V to V is well defined by the equation () = (); here, as usual, the subtraction of two points denotes the free vector from the second point to the first one, and "well-defined" means that ...
Plane-based geometric algebra is an application of Clifford algebra to modelling planes, lines, points, and rigid transformations. Generally this is with the goal of solving applied problems involving these elements and their intersections , projections , and their angle from one another in 3D space. [ 1 ]
The information in this section can be found in. [1] The rigidity matrix can be viewed as a linear transformation from | | to | |.The domain of this transformation is the set of | | column vectors, called velocity or displacements vectors, denoted by ′, and the image is the set of | | edge distortion vectors, denoted by ′.