• In the fields of computer vision and image analysis, the Harris affine region detector belongs to the category of feature detection. Feature detection...
    44 KB (7,037 words) - 01:08, 24 January 2025
  • affine detector is part of the subclass of feature detectors known as affine-invariant detectors: Harris affine region detector, Hessian affine regions...
    9 KB (1,188 words) - 09:58, 19 March 2024
  • tensor Harris affine region detector Corner detection Feature detection (computer vision) Computer vision List of computer vision topics Chris Harris and...
    13 KB (1,713 words) - 14:15, 14 May 2025
  • Harris–Stowe State University, Missouri Harris affine region detector, an algorithm Harris energy functional, an approximation named after J. Harris (physicist)...
    4 KB (507 words) - 18:38, 7 April 2025
  • Blob detection (redirect from Blob detector)
    detection Affine shape adaptation Scale space Ridge detection Interest point detection Feature detection (computer vision) Harris affine region detector Hessian...
    27 KB (4,047 words) - 15:10, 16 April 2025
  • detection algorithms, see Harris affine region detector and SIFT, respectively. Due to lack of the appropriate feature detectors, objects without textured...
    8 KB (1,006 words) - 02:19, 3 May 2022
  • Look up affine in Wiktionary, the free dictionary. The principal curvature-based region detector, also called PCBR is a feature detector used in the fields...
    7 KB (864 words) - 22:17, 15 November 2022
  • Thumbnail for Corner detection
    executables Harris-Laplace, static Linux executables. Also contains DoG and LoG detectors and affine adaptation for all detectors included. FAST detector, C,...
    54 KB (8,949 words) - 22:14, 14 April 2025
  • affine invariant reference frame is affine invariant. Blob detection Corner detection Gaussian function Harris affine region detector Hessian affine region...
    11 KB (1,597 words) - 12:00, 26 September 2024
  • and an affine invariant version was introduced by Kadir and Brady in 2004 and a robust version was designed by Shao et al. in 2007. The detector uses the...
    22 KB (3,172 words) - 18:12, 14 February 2025
  • Thumbnail for Canny edge detector
    The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by...
    24 KB (3,361 words) - 06:24, 21 May 2025
  • pixels in the image. In Mikolajczyk et al., six region detectors are studied (Harris-affine, Hessian-affine, MSER, edge-based regions, intensity extrema...
    19 KB (2,746 words) - 12:11, 2 March 2025
  • also a modified parallel version of the algorithm. DoH & LoG + affine, Blob detector adapted from a SIFT toolbox ezSIFT: an easy-to-use standalone SIFT...
    69 KB (9,232 words) - 07:02, 1 June 2025
  • 4767851. PMID 21869365. S2CID 13284142. C. Harris; M. Stephens (1988). "A combined corner and edge detector" (PDF). Proceedings of the 4th Alvey Vision...
    25 KB (2,935 words) - 13:03, 25 May 2025
  • scene illumination. In the ideal case, the result of applying an edge detector to an image may lead to a set of connected curves that indicate the boundaries...
    36 KB (5,199 words) - 19:02, 16 April 2025
  • computer vision, speeded up robust features (SURF) is a local feature detector and descriptor, with patented applications. It can be used for tasks such...
    11 KB (1,623 words) - 11:06, 27 May 2025
  • Thumbnail for Histogram of oriented gradients
    human detection in images. The first step of calculation in many feature detectors in image pre-processing is to ensure normalized color and gamma values...
    21 KB (2,886 words) - 01:06, 12 March 2025
  • Photogrammetry and Remote Sensing. 26: 150–166. C. Harris & M. Stephens (1988). "A Combined Corner and Edge Detector". Proc. of the 4th ALVEY Vision Conference...
    34 KB (5,501 words) - 19:10, 23 May 2025
  • into an edge image using any edge detecting algorithm like Canny edge detector (1) Pick a reference point (e.g., (xc, yc)) (2) Draw a line from the reference...
    16 KB (2,327 words) - 08:49, 27 May 2025
  • Kadir–Brady detector was chosen because it produces fewer, more salient regions, as opposed to feature detectors like multiscale Harris, which produces...
    25 KB (4,104 words) - 14:46, 16 April 2025
  • discovered; fractal landscapes; British mathematician Michael Barnsley, and affine transformations, which are applied to digital image processing; the chaos...
    272 KB (39,679 words) - 17:59, 17 May 2025