Glossary

Searchable terminology from accessibility, web standards, and related fields.

42 results found in Computer Vision.

3D Reconstruction (Scene Reconstruction, 3D Scene Reconstruction)
The computer vision task of recovering the 3D structure of a scene - geometry, camera positions, and sometimes object trajectories - from one or more 2D images or video frames. Techniques range from c…
Adaptive Boosting (AdaBoost)
A machine learning ensemble method that combines multiple weak classifiers to create a strong classifier, with each successive classifier focusing on the examples that previous classifiers misclassifi…
ArUco Marker (ArUco Fiducial)
A square fiducial marker composed of a black border and an inner binary pattern that encodes a unique ID, designed for fast, robust pose estimation from a single camera image. ArUco markers are widely…
Depth Estimation (Monocular Depth Estimation, Depth Prediction)
The computer vision task of predicting the distance from the camera to each point in a scene, producing a depth map in which each pixel carries a distance value. Monocular depth estimation uses a sing…
Depth Sensing (Depth Perception (computer vision), 3D Sensing)
The ability of a sensor or system to measure the distance from itself to objects in the scene, producing a depth map or point cloud rather than a flat image. Common approaches include stereo vision (t…
Eigenfaces
A computer vision technique for face recognition that uses Principal Component Analysis to represent faces as a linear combination of standardized face components (eigenvectors derived from a training…
Element Detection (UI Element Detection, Widget Detection, Object Detection)
The task of automatically identifying the locations and types of user interface components (such as buttons, text fields, images, and checkboxes) from a screenshot using computer vision models. Elemen…
Facial Expression Analysis (Automated Facial Expression Analysis, Facial Coding, AFEA)
The automated classification of a person's facial movements into discrete emotion categories (happy, angry, neutral, surprised, etc.) using computer vision. In hiring, facial expression analysis is em…
Facial Gesture Recognition (Face Tracking, Facial Expression Recognition)
Technology that uses cameras and computer vision algorithms to detect and interpret facial movements and expressions in real time. For accessibility, facial gestures such as opening the mouth, raising…
Facial Recognition (Face Recognition, FR)
Facial recognition is a computer vision technology that identifies or verifies a person by analyzing and comparing patterns in their facial features from digital images or video. In accessibility cont…
Few-Shot Object Recognition (Few-Shot Recognition)
A machine learning approach in which a model learns to identify a novel object from only a handful of labelled examples (commonly one to ten) rather than the hundreds or thousands typical of conventio…
Grad-CAM (Gradient-weighted Class Activation Mapping)
A widely used explainable AI technique, introduced by Selvaraju et al. in 2017, that produces a class-discriminative heat map over an input image by weighting convolutional feature maps by the gradien…
Hand-Object Interaction (Hand-Object Interactions, HOI)
The full range of physical actions people perform when grasping, touching, holding, manipulating, or gesturing toward objects with their hands. In accessibility research, hand-object interactions are …
Histogram of Oriented Gradients (HOG)
A feature descriptor technique used in computer vision for object detection that counts occurrences of gradient orientations in localized portions of an image. HOG captures edge and texture informatio…
Image Obfuscation (Image Masking, Visual Privacy Protection)
Techniques applied to images to obscure or remove sensitive visual information before sharing or processing, such as blurring, pixelation, edge filtering, or masking regions of an image. In accessibil…
Image Processing (Digital Image Processing)
The use of computational algorithms to analyze, enhance, transform, or extract information from digital images. In accessibility, image processing techniques are applied to convert visual content into…
Image Segmentation (Region Segmentation)
A computer vision technique that partitions a digital image into multiple distinct regions or segments based on shared characteristics such as color, intensity, or texture. In accessibility applicatio…
Inception-v3 (Inception v3)
A deep convolutional neural network architecture developed by Google for image recognition, introduced in 2015. It uses "inception modules" that apply multiple convolution filter sizes in parallel to …
Intersection Detection (Junction detection, Corridor intersection recognition)
A computer-vision or sensor-fusion technique used in indoor navigation systems for blind travellers to identify where two or more walkable corridors meet, so the navigation software can update the use…
Large Vision Model (LVM)
A large vision model is a foundation model trained on very large image (and often video) datasets to produce general-purpose visual representations - capable of object detection, segmentation, caption…