### Table 2: Semi-regular remeshing comparison results.

"... In PAGE 8: ...CGIMs with rendering cost (i.e., number of vertices) no larger than those of the semi-regular meshes. As shown in Table2 , our PSNR results are approximately 3db higher than those of the semi-regular meshes, representing a 30% reduc- tion in Hausdorff error. semi-regular meshes our MCGIM approach # unique vertices geom.... ..."

### Table 2, our PSNR results are approximately 3db higher than those of the semi-regular meshes, representing a 30% reduc- tion in Hausdorff error.

"... In PAGE 8: ... Table2 : Semi-regular remeshing comparison results. MCGIM (3,800 faces) (44x86 geometry image) same coarse mesh, normal-mapped (medium frequency) (near Nyquist rate) texture-mapped using a sampled, projected stripe texture Figure 10: An MCGIM texture-mapped with three 352x688 images.... ..."

### Table 3: This table compares Touma-Gotsman (TG), Alliez- Desbrun (AD), and our coder on a number of semi-regular triangle meshes. The second column shows the number of vertices in the models. The coder performances are expressed in b/v.

2002

Cited by 41

### TABLE 4 This table compares Touma-Gotsman (TG), Alliez-Desbrun (AD), and our coder on a number of semi-regular triangle meshes. The second column shows the number of vertices in the models and the last column shows the number of splits. The coder performances are expressed in b/v.

### Table 1 shows the binary cost to encode the topological in- formation. The bitrate introduced by the proposed method is negligible compared to the geometry coding cost. More- over, it will be deduced from the target bitrate a57a180a201 to take in account the topology during bit allocation (see figure 1).

2002

"... In PAGE 4: ... Table1 . Topology binary cost for different objects, with respect to the number of vertices of semi-regular mesh .... ..."

Cited by 4

### Table 6.3: Filter properties for convolution and lifting based implementations.

### Table 6.2: PSNR and hardware performance of convolution and lifting based implementa- tions.

### Table 2: Valence distribution for some typical meshes.

2003

"... In PAGE 16: ...ig. 8 shows some typical wireframe views of neural meshes. A characteristic semi-regular pattern is detectable and it was repeated throughout all our experiments. Table2 shows the frequency of each valence for some reconstructed models. Notice that the distribution of the valences is independent from the shape of the surface and... ..."