### Table 5: Reconstruction errors in the presence of noise in image pixel locations. Noise level

"... In PAGE 17: ... The other camera parameters were set to the values given in Table 1. The test results sumarized in Table5 and Fig. 5 show that reconstruction under perspective camera is signi cantly more accurate and more robust against pixel noise than those under the other camera models.... ..."

### Table 5: Pixel reconstruction error rates.

in Probabilistic non-linear principal component analysis with Gaussian process latent variable models

2005

"... In PAGE 25: ... Since we know the original pixel values we can compute the pixel reconstruction error rate. These rates are summarised in Table5 . Results are shown for the Bernoulli noise model, the Gaussian noise model and a baseline approach (which is simply to assume that the missing pixels do not contain ink).... ..."

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### Table 3. Perturbation/Reconstruction Method

"... In PAGE 7: ...ll experiments are performed on an Intel P4 2.0GHz CPU. 6.2 Dynamic Correlation The perturbation and reconstruction methods investi- gated in our experiments are summarized in Table3 , where N stands for noise and R for reconstruction. The of- fline algorithms, for both perturbation and reconstruction, are essentially the existing work on the static, relational data model, using PCA on the entire stream history to iden- tify correlations and add or remove noise accordingly.... ..."

### Table 1: Size, approximation error and reconstruction time of the presented models.

"... In PAGE 5: ... The data set was segmented with the help of a semi- automatic algorithm to separate the brain volume from the rest of the data set. Table1 lists the size of the volumes from that were used in the ex- amples and the number of hierarchy levels used. It also summarizes the information about the extracted iso-surface and the approxima- tion error with respect to a mesh produced using marching cubes on the full resolution of the volume data set.... ..."

### Table 1. Successful rate of building reconstruction Reconstruction

"... In PAGE 6: ...building model is different, in shape, with the real one. Table1 shows the successful rate for the four kinds of buildings. Building models in the entire test area are shown in Fig.... ..."

### Table 3: A comparison of the reconstruction time (min:sec), the triangle count, and the accuracy of the reconstructions of the pelvis and Armadillo Man models using Radial Basis Functions, Multi- Level Partition of Unity Implicits, and our method.

"... In PAGE 8: ... In the rst experiment, the point sets were non-uniformly sampled from the surface of the model and in the second experiment, the points were uniformly sampled from the surface of the model and then noise was added to the samples prior to the reconstruction. The results of our experiments are shown in Figures 9 and 10 and the complexity and accuracy of the reconstructions are described in Table3 . In both experiments, the points sets consisted of N = 100;000 samples and the surfaces were re- constructed at a band-width of b = 128.... In PAGE 9: ... In contrast, the additive nature of our method (as described in the previous section) gives rise to a surface reconstruction that averages out the noise and returns a surface that resembles a smoothed ver- sion of the initial model and is, on average, about twice as accurate as the reconstruction of the competing methods. The local nature of the optimizations in the Radial Basis Function and Partition of Unity approaches is further high- lited by the timing results in Table3 . Since the input samples are noisy, the iterative local optimizations converge less ef-... ..."

### Table 1: Reconstruction errors versus the number of points with 5% noise level.

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### Table 2: Reconstruction errors versus the number of points with 10% noise level.

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### Table 3: Reconstruction errors versus the number of points with 20% noise level.

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