Third International Conference on Image Processing and Its Applications, 18-20 July 1989, Venue, University of Warwick, UK |
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Page 23
... Gaussian operator ( LOG ) are derived in a mathematical way . The results could be useful to solve the correspondence problem . Previously , Castan and Shen [ 1 ] have described the " Stereo Correspondence Equation System ( SCES ) ...
... Gaussian operator ( LOG ) are derived in a mathematical way . The results could be useful to solve the correspondence problem . Previously , Castan and Shen [ 1 ] have described the " Stereo Correspondence Equation System ( SCES ) ...
Page 674
... Gaussian convolution kernel . This Gaussian convolution operator is combined with a derivative operator , such as the Laplacian operator used by Hildreth ( 1 ) , or the directional derivative operator used by Canny ( 2 ) , to facilitate ...
... Gaussian convolution kernel . This Gaussian convolution operator is combined with a derivative operator , such as the Laplacian operator used by Hildreth ( 1 ) , or the directional derivative operator used by Canny ( 2 ) , to facilitate ...
Page 675
... Gaussian kernel . In this case the kernel function k is the Laplacian of Gaussian function . The optimal reconstruction filter is no longer an interpolating filter since the aim is to reconstruct a transformed image f * k from samples ...
... Gaussian kernel . In this case the kernel function k is the Laplacian of Gaussian function . The optimal reconstruction filter is no longer an interpolating filter since the aim is to reconstruct a transformed image f * k from samples ...
Contents
Parametric descriptions and estimation a synergetic approach to solving shape from | 5 |
Threedimensional range acquisition of linelike objects | 14 |
Invariance properties of the zero crossings of the Laplacian of Gaussian operator | 23 |
Copyright | |
71 other sections not shown
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algorithm analysis application approach array camera cells colour complex components Computer Vision control points corresponding curvature curve described dimensional edge detection elements equation estimate example expert system extracted feature filter frequency function gradient grey values greyvalue Hough Space Hough Transform hypercube IEEE IEEE Trans image plane image processing image registration implementation interpolation invariant kiwifruit Laplacian layer line segments linear mapping masking matching matrix memory method module motion neural neural network nodes noise non-linear object octree operation orientation output parallel parameters Pattern Recognition peak performance pictorial graphs pixel polygon polynomial position problem Proc processor pyramid Radon transform region registration representation road boundary rotation sampling scale scene sequence shape signal spatial stage stereopsis structure surface techniques template threshold tion transputer type connectivity partition vector vertex type connectivity vertices visual voxels ZC line ZCs of LoG