Comparer des méthodes

	Correspondance de modèle	Détection de coins de Harris
Domaine	Vision par ordinateur	Vision par ordinateur
Famille	Machine learning	Machine learning
Année d'origine	1980s	1988
Auteur d'origine	Computer vision community	Chris Harris and Mike Stephens
Type	Pattern matching and detection	Interest point detector
Source fondatrice	Lewis, J. P. (2004). Fast normalized cross-correlation. Vision Interface, 120–123.	Harris, C., & Stephens, M. (1988). A combined corner and edge detector. Alvey Vision Conference, 147–152.
Alias	Correlation-based matching, Similarity matching	Harris Corner Detector, Harris-Stephens Detector, Plessey Operator
Apparentées	5	5
Résumé	Template matching is a straightforward technique for locating a known pattern (template) within a larger image. By sliding a template image across the target image and computing a similarity measure at each position, template matching identifies locations where the template appears. It is effective for simple object detection when templates are well-defined and appearance variation is limited.	The Harris corner detector, introduced by Chris Harris and Mike Stephens in 1988, is a foundational method for identifying corners and interest points in digital images. Harris corners are points where two edges meet at a significant angle, making them stable and repeatable features for image analysis, matching, and 3D reconstruction.