Condensation algorithm - The Condensation algorithm is a probabilistic visual-tracking method that represents uncertainty with a collection of weighted samples.
Connected-component labeling - Connected-component labeling assigns a distinct label to each connected group of foreground pixels in an image.
Conservative vector field - A conservative vector field is a vector field that can be expressed as the gradient of a scalar potential on its domain.
Constrained least squares - Constrained least squares finds model parameters that minimize a sum of squared residuals while obeying specified restrictions.
Constraint satisfaction - Constraint satisfaction is the task of assigning values to variables so that all specified restrictions are met.
Content-aware fill - Content-aware fill is an image-editing technique that replaces a selected region with content chosen or synthesized to fit the surrounding image.
Content-based image retrieval - Content-based image retrieval, or CBIR, finds images using information extracted from their visual content.
Content-preserving warp - A content-preserving warp is a spatially varying image transformation that balances desired movement against distortion of visible structures.
Context encoders - Context encoders are neural networks trained to predict missing image regions from the surrounding visible content.
Contrast-detection autofocus - Contrast-detection autofocus adjusts a camera's focus using image-derived contrast or sharpness measurements.
Contrast (point operation) - Contrast as a point operation changes the separation between pixel values by applying a tone mapping independently at each image location.
Contrast sensitivity function (CSF) - A contrast sensitivity function describes how sensitivity to visual contrast varies with properties such as spatial frequency under specified viewing...
Contrast stretching - Contrast stretching remaps an image's intensity values so a selected input interval occupies a desired output interval.
Convex hull - The convex hull of a set of points is the smallest convex set containing them.
Convolution - Convolution combines two functions or sequences by summing or integrating products at relative shifts.
Convolution kernel - A convolution kernel is the set of coefficients used to weight input values in a convolution operation.
Convolutional filter - A convolutional filter is a set of weights applied repeatedly across an input to produce responses to local patterns.
Convolutional operation - A convolutional operation applies shared filter weights across an input to produce an organized set of local responses.
Coring - Coring is a signal or image denoising approach that suppresses small-amplitude values in selected high-frequency or bandpass components while retaining...
Corner detection - Corner detection identifies image locations whose local appearance changes substantially when a small neighborhood is shifted in different directions.
Correspondence problem - The correspondence problem is the challenge of determining which locations or features in different images refer to the same scene content.
Coupled hidden Markov model - A coupled hidden Markov model represents several interacting sequences of hidden states, with probabilistic dependencies connecting their evolution over time.
Covariant derivative (healing brush) - In the healing-brush context, a covariant derivative is a modified derivative that measures image variation relative to a chosen connection field.
Cross-dissolve - A cross-dissolve is a transition that gradually reduces one image's contribution while increasing another's.
Cross / joint bilateral filter - A cross or joint bilateral filter averages values from a target image using weights determined by spatial distance and similarity in a separate guide image.
Cubic B-spline - A cubic B-spline uses piecewise polynomials of degree three as locally supported basis functions.
Cuboid (computer vision) - In the behavior-recognition literature, a cuboid is a small volume of video data spanning two image dimensions and a short interval of time.
Cut detection - Cut detection identifies abrupt shot transitions in a video, where one shot is replaced by another between successive frames.
Cyclodisparity - Cyclodisparity is a difference in rotational orientation between the images presented to the two eyes, measured about the line of sight.
Dark channel prior - The dark channel prior is an image-statistics assumption used in single-image haze removal.
Data term - A data term is the part of an optimization objective that measures how well a proposed solution agrees with observed data under a chosen model.
DDPM objective - The DDPM objective is a training criterion for a denoising diffusion probabilistic model.
Debevec - Malik calibration - Debevec - Malik calibration estimates an imaging system's response curve from photographs of the same static scene taken at known exposure durations.
Deghosting - Deghosting reduces duplicate, translucent or inconsistent structures created when multiple images containing motion or misalignment are combined.
Degrees-of-freedom ladder - In the supplied image-warping context, the degrees-of-freedom ladder is an explanatory hierarchy of two-dimensional transformation models: translation...
Delaunay triangulation - Delaunay triangulation divides a set of planar points into non-overlapping triangles such that no input point lies strictly inside any triangle's circumcircle.
Demosaicking - Demosaicking reconstructs full-color image values from measurements captured through a color filter array.
Depth image - A depth image is an image-shaped array whose values describe the depth of visible scene surfaces rather than their ordinary color or brightness.
Depth map - A depth map associates image locations with estimates or measurements of scene depth.
Deriche edge detector - The Deriche edge detector is a classical image-edge method based on recursively implemented filters derived from edge-detection criteria related to Canny's...
Dichromatic model - The dichromatic model, in computer vision, commonly refers to the dichromatic reflection model that describes observed surface color as a combination of...
Differentiable image pipeline - A differentiable image pipeline is a sequence of image-processing operations through which useful derivatives can be computed with respect to inputs or...
Digital elevation map - A digital elevation map is a digital representation of surface elevation across geographic locations, commonly stored as a grid of height values.
Digital geometry - Digital geometry studies the shapes, positions, and geometric properties of objects represented on discrete spaces, such as the grid of pixels in an image...
Digital image - A digital image is a visual representation encoded as data that a computer can store, process, and display.
Digital topology - Digital topology studies connectivity, boundaries, holes, and related structural properties of objects represented on discrete grids.
Digital watermarking - Digital watermarking embeds an identifying or informative signal into digital content so that the signal can later be seen, detected, or recovered.