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  2. Correspondence problem - Wikipedia

    en.wikipedia.org/wiki/Correspondence_problem

    The problem is made more difficult when the objects in the scene are in motion relative to the camera(s). A typical application of the correspondence problem occurs in panorama creation or image stitching — when two or more images which only have a small overlap are to be stitched into a larger composite image. In this case it is necessary to ...

  3. Bundle adjustment - Wikipedia

    en.wikipedia.org/wiki/Bundle_adjustment

    In photogrammetry and computer stereo vision, bundle adjustment is simultaneous refining of the 3D coordinates describing the scene geometry, the parameters of the relative motion, and the optical characteristics of the camera(s) employed to acquire the images, given a set of images depicting a number of 3D points from different viewpoints.

  4. Image stitching - Wikipedia

    en.wikipedia.org/wiki/Image_stitching

    Two images stitched together. The photo on the right is distorted slightly so that it matches up with the one on the left. Image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image.

  5. Image registration - Wikipedia

    en.wikipedia.org/wiki/Image_registration

    Image registration or image alignment algorithms can be classified into intensity-based and feature-based. [3] One of the images is referred to as the moving or source and the others are referred to as the target, fixed or sensed images. Image registration involves spatially transforming the source/moving image(s) to align with the target image.

  6. Hugin (software) - Wikipedia

    en.wikipedia.org/wiki/Hugin_(software)

    stitch large mosaics of images and photos, e.g. of long walls or large microscopy samples find control points and optimize parameters with the help of software assistants/wizards output several projection types, such as equirectangular (used by many full spherical viewers), mercator , cylindrical , stereographic , and sinusoidal

  7. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    SIFT features can essentially be applied to any task that requires identification of matching locations between images. Work has been done on applications such as recognition of particular object categories in 2D images, 3D reconstruction, motion tracking and segmentation, robot localization, image panorama stitching and epipolar calibration ...

  8. The best sunrise alarm clocks of 2025 - AOL

    www.aol.com/lifestyle/best-sunrise-alarm-clocks...

    The Hatch Restore 2 is a full-featured sunrise alarm clock that leverages the power of having a treasure trove of features in a mobile app — but that could also be viewed as a weakness.

  9. Computational photography - Wikipedia

    en.wikipedia.org/wiki/Computational_photography

    This is capture of optically coded images, followed by computational decoding to produce new images. Coded aperture imaging was mainly applied in astronomy or X-ray imaging to boost the image quality. Instead of a single pin-hole, a pinhole pattern is applied in imaging, and deconvolution is performed to recover the image. [9]