In the beginning, a weighted interpolation was carried out bPe1tw= exe1 n+ Pjy11 and P2 for every designated frequency. Because PAE is the primary concern, a wP2e=igxh2t+ofjy22/3 was assigned to P1 to bring the interpolation ppl0eif.ose2fitri,encf0doite.r5Pinmn,icaaycTnlnaoadbcsnele...
The rigorous camera model is therefore a transformation from a world object P to the corresponding projection point uc on the fish-eye image (the solid line). For convenience, the fish-eye image coordinates are usually firstly transformed to a virtual plane camera coordinates by choosing a ...
The output scatterer set P will be used to compute the dominant-scatterers' Hausdorff distance [19] between the training data and test data, which is introduced in detail in the Section 3.3.2. 3.3.2. Scatterer Matching for the Dominant RSVs by Dominant-Scatterers' Hausdorff Distance According...
Keyline description: For each feature line fl(k,i) P Lk, we find three points on the line (see Figure 3). These three points divide the feature line fl(k,i) into four segments with equal length. Each point is then described by an 8-bin normalized distance histogram just like the ...
Then the support region S(p) is generated by merging all of the pixels lying on the horizontal direction for each pixel q which belongs to the vertical direction V(p), as illustrated in Figure 4. S(p) = H(q), q∈V(p) (11) One of the core issues in constructing the cross-based...
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Ontology matching is defined as function: A = f (O, O , p, r) (1) where alignment A is the matching result between ontologies O and O , p is a set of parameters within the matching process, and r is a set of resources used in the matching process. Definition 2 (Correspondence)....