Abstract: A fingerprint scanner for capturing fingerprints of infant children is described. The fingerprint scanner includes a transparent tube configured for an infant child hand and an array of camera sensors spaced apart on the transparent tube so that each camera sensor captures an overlapping part of an image captured by its neighboring camera sensor. The array of camera sensors is arranged below a surface, along a periphery of a circumference and substantially along a length of the transparent tube up to a processor compartment. The fingerprint scanner also includes a processing circuitry configured to: simultaneously receive multiple images from the array of camera sensors, and process the multiple images including merging the multiple images to remove overlapping portions and recover a single image of the infant child's fingertips and palm.

Abstract: A fingerprint scanner for capturing fingerprints of infant children is described. The fingerprint scanner includes a transparent tube configured for an infant child hand and an array of camera sensors spaced apart on the transparent tube so that each camera sensor captures an overlapping part of an image captured by its neighboring camera sensor. The array of camera sensors is arranged below a surface, along a periphery of a circumference and substantially along a length of the transparent tube up to a processor compartment. The fingerprint scanner also includes a processing circuitry configured to: simultaneously receive multiple images from the array of camera sensors, and process the multiple images including merging the multiple images to remove overlapping portions and recover a single image of the infant child's fingertips and palm.

Abstract: A fingerprint scanner for capturing fingerprints of infant children is described. The fingerprint scanner includes a transparent tube configured for an infant child hand and an array of camera sensors spaced apart on the transparent tube so that each camera sensor captures an overlapping part of an image captured by its neighboring camera sensor. The array of camera sensors is arranged below a surface, along a periphery of a circumference and substantially along a length of the transparent tube up to a processor compartment. The fingerprint scanner also includes a processing circuitry configured to: simultaneously receive multiple images from the array of camera sensors, and process the multiple images including merging the multiple images to remove overlapping portions and recover a single image of the infant child's fingertips and palm.

Abstract: A fingerprint scanner for capturing fingerprints of infant children is described. The fingerprint scanner includes a transparent tube configured for an infant child hand and an array of camera sensors spaced apart on the transparent tube so that each camera sensor captures an overlapping part of an image captured by its neighboring camera sensor. The array of camera sensors is arranged below a surface, along a periphery of a circumference and substantially along a length of the transparent tube up to a processor compartment. The fingerprint scanner also includes a processing circuitry configured to: simultaneously receive multiple images from the array of camera sensors, and process the multiple images including merging the multiple images to remove overlapping portions and recover a single image of the infant child's fingertips and palm.

Abstract: A fingerprint scanner for capturing fingerprints of infant children is described. The fingerprint scanner includes a transparent tube configured for an infant child hand and an array of camera sensors spaced apart on the transparent tube so that each camera sensor captures an overlapping part of an image captured by its neighboring camera sensor. The array of camera sensors is arranged below a surface, along a periphery of a circumference and substantially along a length of the transparent tube up to a processor compartment. The fingerprint scanner also includes a processing circuitry configured to: simultaneously receive multiple images from the array of camera sensors, and process the multiple images including merging the multiple images to remove overlapping portions and recover a single image of the infant child's fingertips and palm.

Abstract: Provided is a geometric correction apparatus and method based on a recursive Bezier patch sub-division. A geometric correction method may include: receiving, from a camera, a first image that is obtained by photographing a black screen that is projected by a projector onto a projection surface; receiving, from the camera, a second image that is obtained by photographing a predetermined pattern that is projected by the projector onto the projection screen; generating a third image by subtracting the first image from the second image; and performing geometric correction with respect to the predetermined pattern to correct a distortion between the predetermined pattern and the third image.

Abstract: An apparatus and a method for correcting colors of an image projection device are provided. The method includes: acquiring a photographed image by photographing a sample image projected on projection surface; generating input-output color information for n regions, based on color values of a block in the sample image and corresponding color values of the block in the photographed image; selecting one of the n regions of photographed images as a reference region; generating look-up tables (LUTs) for non-reference regions, based on the reference region and the input and output color information; and correcting colors of input images to be projected by the image projection device using the look-up tables, thereby minimizing color difference of the input images on the projection surface for both intra and inter projection device color correction while simplifying the correction procedure.

Abstract: The present invention proposes a method and apparatus for correcting a motion of panorama video captured by a plurality of cameras. The method of the present invention includes performing global motion estimation for estimating smooth motion trajectories from the panorama video, performing global motion correction for correcting a motion in each frame of the estimated smooth motion trajectories, performing local motion correction for correcting a motion of each of the plurality of cameras for the results in which the motions have been corrected, and performing warping on the results on which the local motion correction has been performed.

Abstract: Disclosed are a color correction apparatus for panorama video stitching and a method of selecting a reference image using the same. A method of selecting a reference image for color correction when stitching panorama video based on input images includes selecting an optimum reference image candidate from the input images based on standard deviations for overlapping regions between the input images, performing color correction on the input images based on the optimum reference image candidate, and validating the optimum reference image candidate based on the color-corrected input images.