Skip to content
Category

Geometry in computer vision

page 1
parallax
thumb|upright=1.4|right|A simplified illustration of the parallax of an object against a distant background due to a perspective shift. When viewed from "Viewpoint A", the object appears to be in front of the blue square. When the viewpoint is changed to "Viewpoint B", the object appears to have moved in front of the red square. thumb|right|This animation is an example of parallax. As the viewpoint moves side to side, the objects in the distance appear to move more slowly than the objects close to the camera. In this case, the white cube in front appears to move faster than the green cube in t
vanishing point
aspect of perspective drawing
RANSAC
statistical method
epipolar geometry
geometry of stereo vision
texture mapping unit
component in modern graphics processing units
structure from motion
a photogrammetric range imaging technique
triangulation
Method of determining a point in 3D space
Iterative closest point
algorithm used to minimize the difference between two clouds of points
Camera matrix
computer vision geometry concept
pinhole camera model
mathematical model describing an ideal pinhole camera
fundamental matrix
matrix in computer vision by rishav
superquadric
right|300px|thumb|Some superquadrics. In mathematics, the superquadrics or super-quadrics (also superquadratics) are a family of geometric shapes defined by formulas that resemble those of ellipsoids and other quadrics, except that the squaring operations are replaced by arbitrary powers. They can be seen as the three-dimensional relatives of the superellipses. The term may refer to the solid object or to its surface, depending on the context. The equations below specify the surface; the solid is specified by replacing the equality signs by less-than-or-equal signs.
trifocal tensor
method of constructing an image from multiple viewpoints
computer stereo vision
extraction of 3D data from digital images
Image rectification
adjustment of images to simplify stereo vision or to map images to a map coordinate system
direct linear transformation
algorithm to solve systems of equations in projective geometry
superellipsoid
right|400px|thumb|Superellipsoid collection with exponent parameters, created using POV-Ray. Here, e = 2/r, and n = 2/t (equivalently, r = 2/e and t = 2/n).
camera resectioning
determination of the geometric model parameters of a camera for technical and scientific applications