15,071 research outputs found

    Method and Apparatus for 3D Imaging a Workpiece

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    To obtain a three-dimensional virtual reconstruction of a workpiece the workpiece is positioned on a display screen between the display screen and at least one imager wherein the imager acquires multiple images of the workpiece while (a) multiple light stripes are displayed and swept in a first directional orientation across the display screen, (b) multiple light stripes are displayed and swept in at least one second directional orientation across the display screen, and (c) multiple images for each position of the multiple light stripes at different exposure times are captured. From the multiple images, a difference caused by the workpiece in a width and a profile of the multiple light stripes is determined. That difference is used to calculate a depth value (z) of the workpiece at each imager pixel position (x, y). The calculated depth value is used to reconstruct a surface shape of the workpiece. In embodiments, the described transmittance light capture analyses are supplemented with reflectance light capture analyses

    2x1D Image Registration and Comparison

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    This paper presents a novel 2x1D phase correlation based image registration method for verification of printer emulator output. The method combines the basic phase correlation technique and a modified 2x1D version of it to achieve both high speed and high accuracy. The proposed method has been implemented and tested using images generated by printer emulators. Over 97% of the image pairs were registered correctly, accurately dealing with diverse images with large translations and image cropping

    A New Weighted Region-based Hough Transform Algorithm for Robust Line Detection in Poor Quality Images of 2D Lattices of Rectangular Objects

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    In this work we present a novel kernel-based Hough Transform method for robust line detection in poor quality images of 2D lattices of rectangular objects. Following a preprocessing stage that specifies the connected regions of the image, the proposed method uses a kernel to specify each region's voting strength based on the following shape descriptors: a) its rectangularity, b) the orientation of the major side of its minimum area bounding rectangle (MBR), and c) the MBR's geometrical center. Experimental and theoretical analysis on the uncertainties associated with the geometrical center as well as the polar parameters of the MBR's major axis line equation allows for automatic selection of the parameters used to specify the shape of the kernel's footstep on the accumulator array. Comparisons performed on images of building facades taken under impaired visual conditions or with low accuracy sensors (e.g. thermal images) between the proposed method and other Hough Transform algorithms, show an improved accuracy of our method in detecting lines and/or linear formations. Finally, the robustness of the proposed method is shown in two other application domains those of, façade image rectification and skew detection and correction in rotated scanned documents

    Research in particles and fields

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    Research activities in Cosmic Rays Gamma Rays, and Astrophysical Plasmas are covered The investigation of the astrophysical aspects of cosmic rays and gamma rays and of the radiation and electromagnetic field environment of the Earth and other planets are studied. These investigations are carried ut by means of energetic particle and photon detector systems flown on spacecraft and balloons. The emphasis is on precision measurements with high resolution in charge mass and energy. An extensive bibliography is given

    Correlation Studies: Final Report

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    The purpose of this study is to develop methods of measuring discrepancies among heterogeneous networked simulators that interact in a common gaming area. By quantifying these descrepancies, the interoperability of the training exercise can be predicted
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