en.unionpedia.org

Computer stereo vision, the Glossary

Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera.^[1]

36 relations: Aerial survey, Autostereoscopy, Binocular disparity, Binocular vision, Charge-coupled device, Color difference, Computer vision, Correspondence problem, Distortion (optics), Epipolar geometry, Heliography, Heuristic, Hidden-surface determination, Image rectification, Least squares, Minimum message length, Neural network, NP-completeness, Outline of object recognition, Photogrammetry, Pinhole camera, Point cloud, Robotics, Semi-global matching, STEREO, Stereo camera, Stereopsis, Stereoscopic depth rendition, Stixel, Structure from motion, Structured light, Trifocal tensor, Voxel, 3D display, 3D reconstruction from multiple images, 3D scanning.
Geometry in computer vision
Stereophotogrammetry

Aerial survey

Aerial survey is a method of collecting geomatics or other imagery by using airplanes, helicopters, UAVs, balloons or other aerial methods.

See Computer stereo vision and Aerial survey

Autostereoscopy is any method of displaying stereoscopic images (adding binocular perception of 3D depth) without the use of special headgear, glasses, something that affects vision, or anything for eyes on the part of the viewer. Computer stereo vision and Autostereoscopy are stereoscopy.

See Computer stereo vision and Autostereoscopy

Binocular disparity

Binocular disparity refers to the difference in image location of an object seen by the left and right eyes, resulting from the eyes' horizontal separation (parallax).

See Computer stereo vision and Binocular disparity

Binocular vision

In biology, binocular vision is a type of vision in which an animal has two eyes capable of facing the same direction to perceive a single three-dimensional image of its surroundings. Computer stereo vision and binocular vision are stereoscopy.

See Computer stereo vision and Binocular vision

Charge-coupled device

A charge-coupled device (CCD) is an integrated circuit containing an array of linked, or coupled, capacitors.

See Computer stereo vision and Charge-coupled device

Color difference

In color science, color difference or color distance is the separation between two colors.

See Computer stereo vision and Color difference

Computer vision

Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions.

See Computer stereo vision and Computer vision

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 time, and/or movement of objects in the photos. Computer stereo vision and correspondence problem are geometry in computer vision and stereoscopy.

See Computer stereo vision and Correspondence problem

Distortion (optics)

In geometric optics, distortion is a deviation from rectilinear projection; a projection in which straight lines in a scene remain straight in an image.

See Computer stereo vision and Distortion (optics)

Epipolar geometry

Epipolar geometry is the geometry of stereo vision. Computer stereo vision and Epipolar geometry are geometry in computer vision and Stereophotogrammetry.

See Computer stereo vision and Epipolar geometry

Heliography

Heliography (in French, héliographie) from helios (Greek: ἥλιος), meaning "sun", and graphein (γράφειν), "writing") is the photographic process invented, and named thus, by Joseph Nicéphore Niépce around 1822, which he used to make the earliest known surviving photograph from nature, View from the Window at Le Gras (1826 or 1827), and the first realisation of photoresist as means to reproduce artworks through inventions of photolithography and photogravure.

See Computer stereo vision and Heliography

Heuristic

A heuristic or heuristic technique (problem solving, mental shortcut, rule of thumb) is any approach to problem solving that employs a pragmatic method that is not fully optimized, perfected, or rationalized, but is nevertheless "good enough" as an approximation or attribute substitution.

See Computer stereo vision and Heuristic

In 3D computer graphics, hidden-surface determination (also known as shown-surface determination, hidden-surface removal (HSR), occlusion culling (OC) or visible-surface determination (VSD)) is the process of identifying what surfaces and parts of surfaces can be seen from a particular viewing angle.

See Computer stereo vision and Hidden-surface determination

Image rectification

Image rectification is a transformation process used to project images onto a common image plane. Computer stereo vision and image rectification are geometry in computer vision.

See Computer stereo vision and Image rectification

Least squares

The method of least squares is a parameter estimation method in regression analysis based on minimizing the sum of the squares of the residuals (a residual being the difference between an observed value and the fitted value provided by a model) made in the results of each individual equation.

See Computer stereo vision and Least squares

Minimum message length

Minimum message length (MML) is a Bayesian information-theoretic method for statistical model comparison and selection.

See Computer stereo vision and Minimum message length

Neural network

A neural network is a group of interconnected units called neurons that send signals to one another.

See Computer stereo vision and Neural network

NP-completeness

In computational complexity theory, a problem is NP-complete when.

See Computer stereo vision and NP-completeness

Outline of object recognition

Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence.

See Computer stereo vision and Outline of object recognition

Photogrammetry

Photogrammetry is the science and technology of obtaining reliable information about physical objects and the environment through the process of recording, measuring and interpreting photographic images and patterns of electromagnetic radiant imagery and other phenomena.

See Computer stereo vision and Photogrammetry

Pinhole camera

A pinhole camera is a simple camera without a lens but with a tiny aperture (the so-called pinhole)—effectively a light-proof box with a small hole in one side.

See Computer stereo vision and Pinhole camera

Point cloud

A point cloud is a discrete set of data points in space.

See Computer stereo vision and Point cloud

Robotics

Robotics is the interdisciplinary study and practice of the design, construction, operation, and use of robots.

See Computer stereo vision and Robotics

Semi-global matching

Semi-global matching (SGM) is a computer vision algorithm for the estimation of a dense disparity map from a rectified stereo image pair, introduced in 2005 by Heiko Hirschmüller while working at the German Aerospace Center. Computer stereo vision and Semi-global matching are geometry in computer vision.

See Computer stereo vision and Semi-global matching

STEREO

STEREO (Solar TErrestrial RElations Observatory) is a solar observation mission.

See Computer stereo vision and STEREO

Stereo camera

A stereo camera is a type of camera with two or more lenses with a separate image sensor or film frame for each lens. Computer stereo vision and stereo camera are stereoscopy.

See Computer stereo vision and Stereo camera

Stereopsis

Stereopsis is the component of depth perception retrieved through binocular vision. Computer stereo vision and Stereopsis are stereoscopy.

See Computer stereo vision and Stereopsis

Stereoscopic depth rendition

Stereoscopic depth rendition specifies how the depth of a three-dimensional object is encoded in a stereoscopic reconstruction. Computer stereo vision and stereoscopic depth rendition are stereoscopy.

See Computer stereo vision and Stereoscopic depth rendition

Stixel

In computer vision, a stixel (portmanteau of "stick" and "pixel") is a superpixel representation of depth information in an image, in the form of a vertical stick that approximates the closest obstacles within a certain vertical slice of the scene.

See Computer stereo vision and Stixel

Structure from motion

Structure from motion (SfM) is a photogrammetric range imaging technique for estimating three-dimensional structures from two-dimensional image sequences that may be coupled with local motion signals. Computer stereo vision and structure from motion are geometry in computer vision.

See Computer stereo vision and Structure from motion

Structured light

A structured light pattern designed for surface inspection An Automatix Seamtracker arc welding robot equipped with a camera and structured laser light source, enabling the robot to follow a welding seam automatically Structured light is the process of projecting a known pattern (often grids or horizontal bars) on to a scene.

See Computer stereo vision and Structured light

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 relationships among three views. Computer stereo vision and trifocal tensor are geometry in computer vision.

See Computer stereo vision and Trifocal tensor

References

[1] https://en.wikipedia.org/wiki/Computer_stereo_vision

Also known as 3D computer vision, Active stereo vision, Depth from stereo, Stereo computer vision, Stereo depth estimation.

Computer stereo vision, the Glossary

Table of Contents

See also

Geometry in computer vision

Stereophotogrammetry

References