### Table 1. Image plane attributes Attibute Name Attribute Description

"... In PAGE 1: ... The dicominfo and dicomread functions can process almost all the metadata fields, returning a structure where every field is a specific piece of DICOM data. The image attributes that define the transmitted pixel array of each slice, which corresponds to a two dimensional image plane are specified in Table1 . Image position and image orientation were specified relative to a the patient based coordinate system.... ..."

### Table 2: Steady state image plane position error for the

2000

"... In PAGE 5: ...28note that 1 pixel corresponds to roughly 0.01 mm#29. The di#0Berence in error magnitude between the axes is a direct result of the camera con#0Cguration, since #12 mo- tion of the manipulator maps directly into a u motion on the image plane. Setting K i =0:005 signi#0Ccantly reduced the error during motion, as shown in Figure 9 and Table2 , at the cost of slightly slower transient performance. The overall results shown in Figure 9 were encour- aging.... ..."

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### Table 2: Steady state image plane position error for the given visual servo controller proportional and integral gains.

2000

"... In PAGE 41: ...EXPERIMENTAL TESTS AND RESULTS 34 same location in the image. Table2 shows mean and standard deviation of the visual error signals (both u and v directions) for three different settings of the proportional and integral gains. Note that with the integral term disabled (K i =0), the resulting u axis error was much greater than the v axis error (note that 1 pixel corresponds to approximately 7 #16m on the image plane and 10 #16m in 3D camera coordinates through perspective projection).... In PAGE 41: ... Setting K i =0:005 significantly reduced the error during motion, as shown in Fig. 32 and Table2 , at the cost of slightly slower transient performance.... ..."

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### Table 4: Image plane rotations can be expressed in terms of the angle between the pro-

"... In PAGE 36: ... Circular Statistics. Table4 summarizes an analysis of the angles between the projections of the objects apos; vertical axes and the gravitational upright, i.e.... In PAGE 36: ... Angular deviation s = q 2#281 , r#29, with r = k #16 vk, is used as a measure of dispersion of angles. For small angles such as those in Table4 , mean angle and angular deviation are very close to the arithmetic mean and standard deviation of #0B i . 13 The small numbers of trials with #0B #14 10 #0E do not justify to assume Gaussian distribution.... In PAGE 47: ... Table4 : Image plane rotations can be expressed in terms of the angle between the projection of the object apos;s vertical axis and the gravitational upright in the image. Data from Experiment 1a and 1b, analyzed in circular statistics, show that objects which are mainly encountered in upright orientation were carefully aligned by partic- ipants.... ..."

### Table 4: Fraction of Image energy in fraction of plane coefficients

2005

### Table 1. Root mean square errors of the re- projected coordinates and the estimated intrinsic parameters for Euclidean image planes (Eip), non- skew cameras (ns), aspect-free cameras (af), rigid image planes (rip), constant skew cameras (cs) and constant aspect ratio cameras (ca).

"... In PAGE 5: ... In Figure 1 the obtained skew in each camera is plotted. In Table1 the RMS (root mean square) of the errors are shown in all six cases.... ..."

### Table 4: Flow magnitude for given translations by moving parallel to the image plane, i.e. X and Y directions, to the ow

### Table 1: Exact bit rates of the chosen ISO images. Image Size Color plane ICFB

in Lossless Image Compression Using Integer Coefficient Filter Banks And Class-Wise Arithmetic Coding

"... In PAGE 3: ... 4. PRACTICAL CODING RESULTS To evaluate the performance of our ICFBs we select ve ISO images given in Table1 . All of them have 256 gray levels (i.... ..."

### Table 1: Accuracy of pose estimation for varying object sizes. Motions are described in the camera coordinate system, pitch motion around the horizontal axis, yaw around the vertical axis and roll in the image plane.

### Table 1: The two displacements used to illustrate the recovery algorithms. Note: The motion is speci ed in the rst camera coordinate system (X and Y axis aligned with the image coordinate system). The rst displacement is dominated by a translation perpendicular to the image plane, and the second displacement by a translation parallel to the image plane. To simulate a general motion, we have also added a rotational component. The axis of rotation is the direction of the rotation vector, and its angle is the norm of that vector. rotation translation correct value of epipole

1998

"... In PAGE 13: ...Two typical displacements The experimental part of this chapter is illustrated with two examples of typical displacements whose values are shown as Table1 . The rst displacement yields epipoles within the image, whereas the second displacement yields epipoles that lie far outside.... In PAGE 34: ...Table1 0: Statistic: Average relative distances obtained with the cross-ratio method. C: normalization by the covariance, P: applying the permutations.... In PAGE 35: ...Table1 1: Summary of methods tried manipulated quantity obtained with operations complexity unknowns triplets of epipoles 7 points clustering closed form algebraic 2 plane cubics 6 points approximative intersection deterministic iterative 2 cross-ratios 4 points non-linear minimization non-deterministic iterative 4 seems to be generally no: used alone, the Fundamental matrix method generally gives a better precision. We have delimited the applicability of the direct methods.... ..."

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