Usporedite metode

	Harris Corner Detection	Detekcija mrlja
Područje	Računalni vid	Računalni vid
Obitelj	Machine learning	Machine learning
Godina nastanka	1988	1998
Tvorac	Chris Harris and Mike Stephens	Tony Lindeberg
Vrsta	Interest point detector	Multi-scale feature detection
Temeljni izvor	Harris, C., & Stephens, M. (1988). A combined corner and edge detector. Alvey Vision Conference, 147–152.	Lindeberg, T. (1998). Feature detection with automatic scale selection. International Journal of Computer Vision, 30(2), 79–116.
Drugi nazivi	Harris Corner Detector, Harris-Stephens Detector, Plessey Operator	Connected component analysis, Region-based detection
Srodne	5	5
Sažetak	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.	Blob detection is a technique for identifying regions of interest (blobs)—connected, homogeneous areas that differ from their surroundings—at multiple scales. Introduced by Lindeberg in the context of scale-space theory, blob detection automatically finds and characterizes circular or elliptical objects without requiring a priori knowledge of their size.