### Table 2: cosmos and orientation-based representations.

1997

"... In PAGE 23: ... The cosmos representation is compact in terms of the CSMPs and their Gauss patch map when compared with the EGI [10], and other orientation-based descriptors such as SFBR [11], CEGI [12], GGI [13], MEGI [14] and OBR [34] where 3D objects are described in terms of their point-wise surface normal distributions on the unit sphere. Table2 discusses the features of various orientation-based descriptors and contrasts them with the cosmos scheme. These orientation-based descriptors represent only convex polyhedra e ciently, and most of them are limited by the classes of objects that can be handled.... ..."

Cited by 45

### Table 1: Current representation schemes for complex curved objects.

1997

"... In PAGE 6: ...1 Representation Schemes for Free-Form Surfaces Some recent approaches have speci cally sought to address the issue of representing sculpted surfaces. Table1 presents an overview of these approaches. 2.... ..."

Cited by 45

### Table 2 . Model dimensions. Compact representation

"... In PAGE 28: ...5. Table2 gives the dimensions of the DEM (12)-(25), compact representation (26). It also gives the dimensions of the scenario-related deterministic model (30).... ..."

### Table 1 Size of the compact representation and number of states and transitions,

2000

Cited by 18

### Table 2 Periodic surface representation of mesophase structures Morphology and structure Periodic surface model Surface

2006

"... In PAGE 5: ... Besides the cubic morphologies, other meso phase structures of spherical micelles, lamellar, rodlike hexagonal phases can also be modeled by periodic surfaces. Table2 lists some of the examples. Notice that some of these structures are in the domain of Euclidean geometry, which shows the generality of the periodic surface model.... ..."

### Table 1. Compactness of the regions in Fig. 4 and 5 Region Compactness Region Compactness

2001

"... In PAGE 5: ... 5. Binary images of single objects In Table1 the compactness for the regions 1 to 8 is listed. The compactness is defined as c = 4 area (perimeter)2 which can be computed efficiently by using the chain code representation.... ..."

Cited by 1

### TABLE VIII Coverage loss of the hybrid compaction scheme and X-Compact with 0.5% unknowns.

in Abstract

### Table 5. Comparison of general representation and compact representation for HCC over Fq for q prime and g = 2

2002

Cited by 2