Corner detection

Approach used in computer vision systems / From Wikipedia, the free encyclopedia

Dear Wikiwand AI, let's keep it short by simply answering these key questions:

Can you list the top facts and stats about Corner detection?

Summarize this article for a 10 year old

SHOW ALL QUESTIONS

Corner detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner detection is frequently used in motion detection, image registration, video tracking, image mosaicing, panorama stitching, 3D reconstruction and object recognition. Corner detection overlaps with the topic of interest point detection.

Output of a typical corner detection algorithm

Egomotion estimation using corner detection

Feature detection
Edge detection
Canny Deriche Differential Sobel Prewitt Roberts cross
Corner detection
Harris operator Shi and Tomasi Level curve curvature Hessian feature strength measures SUSAN FAST
Blob detection
Laplacian of Gaussian (LoG) Difference of Gaussians (DoG) Determinant of Hessian (DoH) Maximally stable extremal regions PCBR
Ridge detection
Hough transform
Hough transform Generalized Hough transform
Structure tensor
Structure tensor Generalized structure tensor
Affine invariant feature detection
Affine shape adaptation Harris affine Hessian affine
Feature description
SIFT SURF GLOH HOG
Scale space
Scale-space axioms Implementation details Pyramids
v t e

Oops something went wrong: