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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.
Image stitching is widely used in modern applications, such as the following: Document mosaicing [5] Image stabilization feature in camcorders that use frame-rate image alignment; High-resolution image mosaics in digital maps and satellite imagery; Medical imaging; Multiple-image super-resolution imaging; Video stitching [6] Object insertion
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 ...
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 ...
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
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.
It differs from some other image-stitching software in that it automatically and seamlessly stitches together even unaligned or zoomed photographs without user input, whereas others often require the user to highlight matching areas for the photographs to be merged properly. The only requirement is that all photographs be taken from a single point.
Download as PDF; Printable version; ... Photo stitching software creates panoramas by seamlessly combining several photos into a larger image.