Geometry
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Computer vision
Geometry in computer vision
Pose (computer vision)
In computer vision and in robotics, a typical task is to identify specific objects in an image and to determine each object's position and orientation relative to some coordinate system. This informa...
Minoru 3D Webcam
The Minoru 3D Webcam is a stereoscopic webcam produced by Promotion and Display Technology of Salford, Greater Manchester. Released in the January of 2009, it won the "Fans' Favorite" award at the Con...
Minoru 3D Webcam - Wikipedia
View-Master Personal Stereo Camera
The View-Master Personal Stereo Camera was a 35mm film camera designed to take 3D stereo photos for viewing in a View-Master. First released in 1952, the camera took 69 pairs of photos on a 36 exposur...
View-Master Personal Stereo Camera - Wikipedia
Triangulation (computer vision)
In computer vision triangulation refers to the process of determining a point in 3D space given its projections onto two, or more, images. In order to solve this problem it is necessary to know the p...
Triangulation (computer vision) - Wikipedia
Direct linear transformation
Direct linear transformation (DLT) is an algorithm which solves a set of variables from a set of similarity relations:where and are known vectors, denotes equality up to an unknown scalar multiplic...
Texture mapping unit
A texture mapping unit (TMU) is a component in modern graphics processing units (GPUs), historically it was a separate physical processor. A TMU is able to rotate and resize a bitmap to be placed onto...
Parallax
Parallax is a displacement or difference in the apparent position of an object viewed along two different lines of sight, and is measured by the angle or semi-angle of inclination between those two li...
Parallax - Wikipedia
Camera resectioning
Camera resectioning is the process of estimating the parameters of a pinhole camera model approximating the camera that produced a given photograph or video. Usually, the pinhole camera parameters are...
Bundle adjustment
Given a set of images depicting a number of 3D points from different viewpoints, bundle adjustment can be defined as the problem of simultaneously refining the 3D coordinates describing the scene geo...
Bundle adjustment - Wikipedia
Homography (computer vision)
In the field of computer vision, any two images of the same planar surface in space are related by a homography (assuming a pinhole camera model). This has many practical applications, such as image ...
Homography (computer vision) - Wikipedia
Correspondence problem
The correspondence problem refers to the problem of ascertaining which parts of one image correspond to which parts of another image, where differences are due to movement of the camera, the elapse of...
Stereo Realist
The Stereo Realist is a stereo camera that was manufactured by the David White Company from 1947 to 1971. It was the most popular 35mm stereo camera ever manufactured and started the era of stereo pho...
Stereo Realist - Wikipedia
Essential matrix
In computer vision, the essential matrix is a matrix, , with some additional properties described below, which relates corresponding points in stereo images assuming that the cameras satisfy the pinh...
Fujifilm FinePix Real 3D W1
The Fujifilm FinePix Real 3D W series is a line of consumer-grade digital cameras designed to capture stereoscopic images that recreate the perception of 3-D depth, having both still and video formats...
Fujifilm FinePix Real 3D W1 - Wikipedia
Parallax occlusion mapping
Parallax occlusion mapping (POM) is an enhancement of the parallax mapping technique. Parallax occlusion mapping is used to procedurally create 3D definition in textured surfaces, using a displacemen...
Trifocal tensor
In computer vision, the trifocal tensor (also tritensor) is a 3×3×3 array of numbers(i.e., a tensor) that incorporates all projective geometric relationshipsamong three views. It relates the coordinat...
3D pose estimation
3D pose estimation is the problem of determining the transformation of an object in a 2D image which gives the 3D object. The need for 3D pose estimation arises from the limitations of feature based ...
Depth perception
Depth perception is the visual ability to perceive the world in three dimensions (3D) and the distance of an object. Depth sensation is the corresponding term for animals, since although it is known t...
Depth perception - Wikipedia
Stereo cameras
The stereo cameras approach is a method of distilling a noisy video signal into a coherent data set that a computer can begin to process into actionable symbolic objects, or abstractions. Stereo camer...
Stereo cameras - Wikipedia
Camera matrix
In computer vision a camera matrix or (camera) projection matrix is a matrix which describes the mapping of a pinhole camera from 3D points in the world to 2D points in an image.Let be a representat...
Stereopsis
Stereopsis (from the Greek στερεο- stereo- meaning "solid", and ὄψις opsis, "appearance, sight") is a term that is most often used to refer to the perception of depth and 3-dimensional structure obtai...
Stereopsis - Wikipedia
Vanishing point
In graphical perspective, a vanishing point is a point in the picture plane that is the intersection of the projections (or drawings) of a set of parallel lines in space on to the picture plane. When ...
Vanishing point - Wikipedia
Image rectification
Image rectification is a transformation process used to project two-or-more images onto a common image plane. This process has several degrees of freedom and there are many strategies for transforming...
Image rectification - Wikipedia
Iterative closest point
Iterative Closest Point (ICP) is an algorithm employed to minimize the difference between two clouds of points. ICP is often used to reconstruct 2D or 3D surfaces from different scans, to localize ro...
Epipolar geometry
Epipolar geometry is the geometry of stereo vision. When two cameras view a 3D scene from two distinct positions, there are a number of geometric relations between the 3D points and their projections...
Epipolar geometry - Wikipedia
Fundamental matrix (computer vision)
In computer vision, the fundamental matrix is a 3×3 matrix which relates corresponding points in stereo images. In epipolar geometry, with homogeneous image coordinates, x and x′, of corresponding p...
RANSAC
Random sample consensus (RANSAC) is an iterative method to estimate parameters of a mathematical model from a set of observed data which contains outliers. It is a non-deterministic algorithm in the ...
RANSAC - Wikipedia
Reprojection error
The reprojection error is a geometric error corresponding to the image distance between a projected point and a measured one. It is used to quantify how closely an estimate of a 3D point recreates th...
Free-form deformation
In computer graphics, free-form deformation (FFD) is a geometric technique used to model simple deformations of rigid objects. It is based on the idea of enclosing an object within a cube or another h...
Stellar parallax
Stellar parallax is parallax on an interstellar scale: the apparent shift of position of any nearby star (or other object) against the background of distant objects. Created by the different orbital p...
Stellar parallax - Wikipedia