Mohr, R., Projective geometry and computer vision, To appear in Handbook of Pattern Recognition and Computer Vision, Chen, Pau and Wang editors, 1992.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....by projective transformations. There are then 5 coplanar points and consequently two plane projective invariants which are also invariants of the 3D transformation. 4.1. 1 Epipolar geometry The algorithm for calculating the epipolar geometry is described briefly below, more details are given in [1, 12] We have 6 corresponding points x i ; x i ; i 2 f0; 5g in two views, with the first 4 i 2 f0; 3g the projection of coplanar world points. i 0 1 2 3 5 4 Figure 1: The projective invariant of 6 points, 4 coplanar (points 0 3) can be computed by intersecting the line through the ....

Mohr, R., Projective geometry and computer vision, To appear in Handbook of Pattern Recognition and Computer Vision, Chen, Pau and Wang editors, 1992.

....of methods is demonstrated using a real time vision system based on B spline snake tracking. 1 Introduction A number of recent papers have demonstrated that visual tasks such as model based recognition [22, 29] structure recovery (from stereo or motion) 8, 13, 16, 24] and epipolar calibration [2, 7, 9, 18], can be accomplished without requiring Euclidean shape measurements, such as distances and angles. Instead relative measurements are employed where structure is only specified up to an affine or projective representation. Such structure can be determined directly from images. A significant ....

Mohr, R., To appear in Handbook of Pattern Recognition and Computer Vision, Chen, Pau and Wang editors, 1992.

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