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  2. Kanade–Lucas–Tomasi feature tracker - Wikipedia

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

    In the second paper Tomasi and Kanade [2] used the same basic method for finding the registration due to the translation but improved the technique by tracking features that are suitable for the tracking algorithm. The proposed features would be selected if both the eigenvalues of the gradient matrix were larger than some threshold.

  3. Boundary tracing - Wikipedia

    en.wikipedia.org/wiki/Boundary_Tracing

    Theo Pavlidis' Algorithm is a well-known method for contour tracing in binary images proposed, designed to methodically detect and follow the boundaries of related components. The technique starts by locating an initial boundary pixel, which is usually the first black pixel seen while scanning the image from top to bottom and left to right.

  4. Track while scan - Wikipedia

    en.wikipedia.org/wiki/Track_while_scan

    Track while scan radars became possible with the introduction of two new technologies: phased-array radars and computer memory devices. Phased-array antennas became practical with the introduction of tunable high-power coherent radio frequency oscillators in the 1960s. By shifting the phase slightly between a series of antennas, the resulting ...

  5. Optical character recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_character_recognition

    Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...

  6. 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]

  7. Automatic identification and data capture - Wikipedia

    en.wikipedia.org/wiki/Automatic_identification...

    AIDC is the process or means of obtaining external data, particularly through the analysis of images, sounds, or videos. To capture data, a transducer is employed which converts the actual image or a sound into a digital file. The file is then stored and at a later time, it can be analyzed by a computer, or compared with other files in a ...

  8. Intelligent character recognition - Wikipedia

    en.wikipedia.org/wiki/Intelligent_character...

    Information can be swiftly extracted from form fields and entered into another application, like a spreadsheet or database, by zonally applying the OCR engine to those fields. Yet, data is typically manually input rather than typed into form fields. Character identification becomes even more challenging while reading handwritten material.

  9. Image tracing - Wikipedia

    en.wikipedia.org/wiki/Image_tracing

    The bitmap image is composed of a fixed set of pixels, while the vector image is composed of a fixed set of shapes. In the picture, scaling the bitmap reveals the pixels while scaling the vector image preserves the shapes. An image does not have any structure: it is just a collection of marks on paper, grains in film, or pixels in a bitmap ...