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Fundamentals of Computer Vision
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Feature Extraction
The process of reducing the amount of resources required to describe a large set of data accurately.
RGB Color Model
A color model in which Red, Green, and Blue light are added together in various ways to reproduce a broad array of colors.
Support Vector Machine (SVM)
A supervised machine learning model that uses classification algorithms for two-group classification problems.
Segmentation
The process of partitioning a digital image into multiple segments to simplify or change the representation of an image into something that is more meaningful and easier to analyze.
Depth Perception
The visual ability to perceive the world in three dimensions (3D) and the distance of an object.
Histogram Equalization
A method in image processing of contrast adjustment using the image's histogram.
Optical Flow
The pattern of apparent motion of image objects between two consecutive frames caused by the movement of object or camera.
Principal Component Analysis (PCA)
A statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables.
Template Matching
A technique in digital image processing for finding small parts of an image which match a template image.
Gaussian Blur
A filter used in image processing to smooth out images and reduce detail and noise, using a Gaussian function.
Haar Cascade
A machine learning object detection algorithm used to identify objects in an image or video and based on the concept of features proposed by Viola and Jones.
SIFT (Scale-Invariant Feature Transform)
An algorithm in computer vision to detect and describe local features in images.
Pixel
The smallest addressable element in a display device; it is a single point in a graphic image.
Edge Detection
A technique used to identify the boundaries of objects within images.
Hough Transform
A feature extraction technique used in image analysis, computer vision, and digital image processing to find imperfect instances of objects within a certain class of shapes.
Image Registration
The process of transforming different sets of data into one coordinate system, typically images or 3D models.
Object Detection
A computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class in digital images and videos.
Camera Calibration
The process used to estimate the parameters of the camera lens and image sensors.
Convolution
A mathematical operation used for applying a filter to an image, involving flipping the filter and then computing local sums of products.
Neural Networks
Computing systems inspired by the biological neural networks that constitute animal brains, essential for deep learning.
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