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Invariant_Line_Segment_Matching
function Invariant_Line_Feature_Matching
___DESCRIPTION___
Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? )
Example :
Invariant_Line_Feature_Matching ( )
___REFERENCE___
Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach
Park, Lee, Lee - Ideal - CV and Im. Und. - 77, 263-283 - (2000)( function Invariant_Line_Feature_Matching
___DESCRIPTION___
Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? )
Example :
Invariant_Line_Feature_Matching ( )
___REFERENCE___
Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach
Park, Lee, Lee- Ideal- CV and Im. Und.- 77, 263-283- (2000))
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(Centroid localization algorithm source,Three cases to consider.Only the anchor nodes,unknown nodes to be positioned as anchor nodes,neighbor anchor node of the unknown node using only neighbor anchor node positioning, not unknown neighbor anchor node node neighbor has positioned the unknown node positioning.)
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from the market data by statistics and the market price of risk is determined by a
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vertible bond, a free-boundary problem is solved. A Singularity-Separating Method
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