The Harris corner detection algorithm also called the Harris & Stephens corner detector is one of the simplest corner detectors available.
An extremely magnified image at the end is just blocks of colors called pixels, where each pixel is formed by the combination of Red, Blue and Green, our primary colors. RGB color space or RGB color system, constructs all the colors from the combination of the intensities of Red, Green and Blue colors.
Principal component analysis is a method used to reduce the number of dimensions in a dataset without losing much information.
Polynomial regression is a process of finding a polynomial function that takes the form f( x ) = c0 + c1 x + c2 x2 ⋯ cn xn where n is the degree of the polynomial and c is a set of coefficients.
Simple linear regression is a statistical method you can use to study relationships between two continuous (quantitative) variables: independent variable (x) – also referred to as predictor or explanatory variable dependant variable (y) – also referred to as response or outcome The goal of any regression model is to predict the value of y (dependant variable) based on the value of x (independent variable).
Markow chain is a probabilistic process used to predict the next step based on the probabilities of the existing related states.
Four color theorem states that any given plane figure separated by lines can be colored using not more than 4 colors!