Machine VisionContinuing Engineering Education, University of Michigan, 1991 - Computer vision |
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algorithm analysis angle applications approach approximation Artificial Intelligence axis B-spline binary image boundary camera components computer vision Conf constraint line clustering contour convolution coordinates corresponding curve data points defined derivative direction disparity map distance domain edge detection equation error estimate Figure filter Fourier transform frame frequency function Gaussian curvature Gaussian function geometric global gradient graph histogram IEEE IEEE Trans image flow image plane Image Processing intensity image interpolation iterative Kalman filter label lens linear machine vision matching matrix mean curvature measure method motion neighborhood noise object obtained operator optical orientation parameters Pattern pixels planar polynomial primitives problem Proc range image recognition reconstruction representation Robot Vision Robotics sampling scene segmentation sensor shape shown in Fig smooth spatial spline stereo structure superquadric surface fitting surface normal surface type symmetry tangent techniques texture threshold tion values vector velocity field vision system zero