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The problem of relative orientation is to determine the relationship between two camera coordinate systems from the projections of corresponding points in the two cameras The relative orientation problem is the first step in calibrating a pair of cameras for use in binocular stereo We covered binocular stereo algorithms for matching features along epipolar lines in Section 112 To simplify the presentation, we assumed that the corresponding epipolar lines in the left and right image planes corresponded to the same rows in the left and right image arrays This section will cover the solution to the relative orientation problem and show how the location of the epipolar lines in the two image planes can be determined Section 125 will show how the left and right images can be resampled so that the epipolar lines correspond to the image rows, as assumed by the algorithms presented in Section 112 The disparities

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Figure 123: Illustration of the relative orientation problem for calibrating stereo cameras using the corresponding projections of scene points found by stereo matching are actually conjugate pairs Section 126 will show how these conjugate pairs can be converted to point measurements in the coordinate system of the stereo device The relative orientation problem is illustrated in Figure 123 Suppose that a point P in the scene is within the view volume of two cameras, designated as the left and right cameras Point P is denoted PI in the coordinate system of the left camera and Pr in the coordinate system of the right camera The projection of point P onto the image plane of the left camera is P; = (x;, yf) and the projection of the point onto the image plane of the right camera is p~ = (x~, y~) From the equations for perspective projection:

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Free source code and tutorials for Software developers and Architects.; Updated: 29 Apr 2014.

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Prism compressive strength is calculated as the failure load divided by the net cross-sectional area for hollow unit prisms and as the failure load divided by the gross cross-sectional area for solid unit prisms and for grouted prisms Values are reported to the nearest 10 psi

(1252) (1253)

The rigid body transformation that transforms coordinates in the left camera system to coordinates in the right camera system is (1254)

TABLE 44 ASTM C 1314 Correction Factors for Masonry Prism Compressive Strength hp/tp* 13 15 20 25 30 40 50 Correction Factor 075 086 10B 104 107 115 122

(lil~~)

(1256)

Solve the equations for perspective projection for Xz, Yz, Xr, and Yr and plug into the equations for a rigid body transformation to obtain a set of equations for the relationship between the projections of the conjugate pairs:

* hp/tp is the ratio of prism height to least lateral dimension of the prism (Extracted, with permission, from ASTM C 1314 Standard Test Method for Compressive Strength of Masonry Prisms, copyright ASTM International, 100 Barr Harbor Drive, West Conshohocken, PA 19428 A copy of the complete standard may be obtained from ASTM, phone: 610-832-9585, email: service@astmorg, website: wwwastmorg)

(1257) (1258) (1259)

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How To Convert PDF to Excel in .NET Framework - Tech Tips!
28 Jan 2013 ... In fact, one developer tool, PDF2Excel SDK, will allow you to ... In this overview, we show you how to use the PDF2Excel SDK from C# and VB.

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The rotation part of the transformation changes the orientation of the left camera so that it coincides with the orientation of the right camera The translation is the baseline between the two cameras The variables for translation and depth appear as ratios in the equations, which means that the length of the baseline and depth can be scaled arbitrarily For example, you can separate the cameras by twice as much and move the points in the scene twice as far away without changing the perspective geometry It is not possible to determine the baseline distance from the projections of the calibration points This is not a serious problem, as the scale factor can be determined later by other means For now, assume that the translation between cameras is a unit vector Solving the relative orientation problem provides the three parameters for rotation and the two parameters for a unit vector that represents the direction of baseline The binocular stereo depth measurements scale with the baseline distance Assuming a unit baseline distance means that the binocular stereo measurements will be in an arbitrary system of units The measurements obtained under the assumption of unit baseline distance will be correct except for the unknown scale factor Relative distances between points will be correct These arbitrary units can be converted to real units by multiplying by the baseline distance after it is obtained Section 127 shows how the baseline distance can be determined as part of the solution to the absolute orientation problem The conversion of stereo measurements from arbitrary units to real units and the transformation of point coordinates from viewer-centered coordinates to absolute coordinates can be done simultaneously by applying the transformation obtained from this augmented absolute orientation problem The rotation matrix is orthonormal, and this provides six additional constraints in addition to the artificial constraint of unit baseline distance Given.

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How to convert pdf file to excel in c# - Stack Overflow
22 May 2017 ... You absolutely do not have to convert PDF to Excel. First of all, please determine whether your PDF contains textual data, or it is scanned image. If it contains ...

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