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    Human height estimation using visual geometry and feature learning
    (2021-01-01)
    Dokthurian, Siriporn
    ;
    Rattanapitak, Wirat
    ;
    Wangsiripitak, Somkiat
    Many existing video surveillance systems use human characteristics like face, height, and gait to identify a person. This paper proposes a human height estimation approach using visual geometry and feature learning that makes an estimate from a video clip of a person. An experiment was conducted to evaluate the performance of the approach. The approach achieved an average percentage final height estimate of 100.59 % (actual height = 100%), better than a previously reported estimate of 98.8% in the literature achieved by another approach. A successful further development of this approach would directly benefit forensic science investigators.
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    Application of direct linear transform for calibration of miniature computed tomography
    (2012-12-01)
    Pannao, W.
    ;
    Pintavirooj, C.
    After the development of miniature computed tomography, the calibration is the first thing to do. In this paper, image processing was used for testing miniature CT. We got comprehended coordinates on a chessboard. Then entire data were computed by direct linear transform equation (DLT). DLT is famous equation for finding a real position of three-dimensional object form two-dimensional images in multi projections. Afterward, rotation metric and transition metric of a camera was calculated by DLT. These metric can describe about the circular structure of gantry, flatness of gantry plane and accuracy of rotation angle. These parameters are especially important in reconstruction of cross sectional images by Feldkamp algorithm. Stability of miniature CT helps to reduce the artifacts in the image so good quality x-ray images can be derived. ©2012 IEEE.