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  2. Kanade–Lucas–Tomasi feature tracker - Wikipedia

    en.wikipedia.org/wiki/Kanade–Lucas–Tomasi...

    In computer vision, the Kanade–Lucas–Tomasi (KLT) feature tracker is an approach to feature extraction. It is proposed mainly for the purpose of dealing with the problem that traditional image registration techniques are generally costly. KLT makes use of spatial intensity information to direct the search for the position that yields the ...

  3. SwisTrack - Wikipedia

    en.wikipedia.org/wiki/SwisTrack

    SwisTrack is an open-source tool for tracking robots and other objects using a camera or a recorded video as input source. It has mainly been developed by Distributed Intelligent Systems and Algorithms Laboratory (DISAL) and the LPM Vision Group at EPFL in Lausanne, Switzerland.

  4. ilastik - Wikipedia

    en.wikipedia.org/wiki/Ilastik

    ilastik [1] is a user-friendly free open source software for image classification and segmentation. No previous experience in image processing is required to run the software. Since 2018 ilastik is further developed and maintained by Anna Kreshuk's group at European Molecular Biology Laboratory.

  5. OpenCV - Wikipedia

    en.wikipedia.org/wiki/OpenCV

    OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]).

  6. Computer Vision Annotation Tool - Wikipedia

    en.wikipedia.org/wiki/Computer_Vision_Annotation...

    opencv.github.io /cvat /about / Computer Vision Annotation Tool (CVAT) is an open source , web-based image and video annotation tool used for labeling data for computer vision algorithms. Originally developed by Intel , CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision ...

  7. Object detection - Wikipedia

    en.wikipedia.org/wiki/Object_detection

    Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]

  8. 3D Slicer - Wikipedia

    en.wikipedia.org/wiki/3D_Slicer

    3D Slicer (Slicer) is a free and open source software package for image analysis [1] [2] and scientific visualization. Slicer is used in a variety of medical applications, including autism , multiple sclerosis , systemic lupus erythematosus , prostate cancer , lung cancer , breast cancer , schizophrenia , orthopedic biomechanics , COPD ...

  9. Oriented FAST and rotated BRIEF - Wikipedia

    en.wikipedia.org/wiki/Oriented_FAST_and_rotated...

    Oriented FAST and rotated BRIEF (ORB) is a fast robust local feature detector, first presented by Ethan Rublee et al. in 2011, [1] that can be used in computer vision tasks like object recognition or 3D reconstruction.