Each sector descriptor w f (m,l) will therefore contain two scores (Δn and Δs, both ∈[0,1]) related to how much the average normal and saliency values in each grid sector differ from the corresponding feature point values.
Then, given n ̂ f and s f respectively the normal vector and the saliency value associated to the feature point f, the sector descriptor w f (m,l) is computed as follows: w f ( m, l ) = Δn ( m, l ), Δs ( m, l ) Δn ( m, l ) = 1.
Since each row represents a radial encoding of the contour described by the maximum heights of each of the cells in a sector, we will call this descriptor "CIRCON", which is an acronym of "Cyclical Image of Radial CONtours".
Figure 1 shows, around the Z q -axis, this sense of numbering and the nature of the cells for the i th sector. Figure 1 Construction of a CIRCON descriptor.
Once each point p j ∈ B σ r + 1 f has been associated to a sector, it is possible to compute w f, the descriptor associated to feature point f.
In the future we are likely to see a new breed of organisation that doesn't fit neatly into the standard descriptors used in the private, public or nonprofit sectors.
Thus, a crucial ingredient of future multi-sector care delivery systems will be a common language of clinical descriptors.
The ten participants, listed in Fig. 1 along with their descriptors, included a mix of genders, languages, locations, employers and sectors.
Participants focused on the need to re-engage the public in science, recognizing that the public sector is a diverse entity that cannot be characterized by a single set of descriptors and therefore cannot be positively engaged through a single effort or activity.
The descriptors used for community-based organizations may also vary based on the sector or 'community' they serve such as specific populations (e.g., AIDS service organizations or community mental health centres).
