### Table 1: Spatial subdivision statistics.

1998

"... In PAGE 6: ...1 Spatial Subdivision Results We first constructed the spatial subdivision data structure (cell ad- jacency graph) for each test model. Statistics from this phase of the experiment are shown in Table1 . Column 2 lists the number... ..."

Cited by 49

### Table 1: Spatial subdivision statistics.

"... In PAGE 6: ...1 Spatial Subdivision Results We first constructed the spatial subdivision data structure (cell ad- jacency graph) for each test model. Statistics from this phase of the experiment are shown in Table1 . Column 2 lists the number... ..."

### Table 1: Spatial subdivision statistics.

"... In PAGE 20: ...1 Spatial Subdivision Results We first constructed the spatial subdivision data structure (cell adjacency graph) for each test model. Statistics from this phase of the experiment are shown in Table1 . Column 2 lists the num- ber of input polygons in each model, while Columns 3 and 4 contain the number of cell regions and boundary polygons, respectively, generated by the spatial subdivision algorithm.... ..."

### Table 1: Spatial subdivision statistics.

1999

"... In PAGE 14: ...Table1 . For each test model, we list how many input polygons it has (# Polys), along with the numbers of cells, faces, edges, and vertices in the resulting winged-pair structure and the wall-clock time (in seconds) taken by the spatial subdivision algorithm.... ..."

Cited by 4

### Table 1: Spatial subdivision statistics.

1999

"... In PAGE 14: ...Table1 . For each test model, we list how many input polygons it has (# Polys), along with the numbers of cells, faces, edges, and vertices in the resulting winged-pair structure and the wall-clock time (in seconds) taken by the spatial subdivision algorithm.... ..."

Cited by 4

### Table 1: Average atom density for the two forms of uniform spatial subdivision

1989

"... In PAGE 18: ... Thus the time complexity of the uniform spatial subdivision technique for collision detection is O(n), where n is the number of atoms in the smaller of the two molecules, which in our application is the drug molecule. The right-hand col- umn of Table1 shows that over a variety of molecules the average number of atoms per cell re- mains fairly constant at about 10 atoms per cell. The table also shows that there are not too many more spheres per cell when using a hash table of 4096 entries instead of a full grid of cells.... ..."

Cited by 35

### Table 1: Statistics for the scenes and their spatial subdivisions. Ob- ject references indicate the number of pointers from the octree to objects. If an object intersects more than one voxel, it will be pointed to by more than one voxel.

1999

"... In PAGE 6: ... If we examine the case of the studio model for a rendering performed on 16 processors using an object cache which is large enough to fit all data that is requested, its memory break- down is presented in table 2. Table1 shows that the number of references from the octree to an object is significantly higher than the total number of objects in the scenes. This is a common, but often overlooked feature of octrees.... ..."

Cited by 8

### Table 2: Mean and maximum statistics for cells in the spatial subdivision of Soda Hall. in a window on the workstation display at interactive frame rates as the user moves the observer viewpoint through the model. We use the object hierarchy, spatial subdivision, and results of the visibility precomputa- tion stored in the display database (summarized in Figure 23), along with real-time display and database management algorithms to achieve interactive frame rates.

1996

"... In PAGE 26: ...rame (Section 4.2.1). 3.3 Results Mean and maximum precomputation statistics for cells in the spatial subdivision of Soda Hall are shown in Table2 . In all, the spatial subdivision contains 5,060 leaf cells, of which 1,889 are possibly inhabitable by an observer { the other 3,171 cells occupy dead space inside the walls and ceilings.... ..."

Cited by 25

### Table 1: Results of the spatial subdivision and visibility computations. The table shows the time spend by the preprocessing as well as the average percentage of the portion of the model classi ed as visible. Measured on K5/100MHz, 32MB RAM, Linux OS.

"... In PAGE 5: ... 6 Results and Discussion We have tested the brie y described algorithms to establish visibility relations on several di erent models of architectural interiors. Table1 depicts times spend by the visibility preprocessing as well as the asset of visibility computations. The percentage of cells clas- si ed as visible shows, that the visibility computations signi cantly reduce the amount of data necessary to process during rendering.... ..."

### Table M1.1: Criteria for registration classification Criteria Subdivisions Spatial dimensions: 2D/2D, 2D/3D, 3D/3D Dimensionality

1999