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Landmark candidate selection: Landmark candidate selection comprises two processes: small region elimination (explained below) and duplication avoidance (explained in "SIFT feature matching").
"Landmark candidates collection" introduces landmark candidate selection, and "Landmark selection criteria" proposes landmark selection criteria.
a The red-painted landmark candidate is selected based on the number of arcs.
In the case of (A), the red-painted landmark candidate is selected by counting the number of arcs.
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But the discussions over the fate of these landmark candidates repeat longstanding debates over New York's concrete fabric: What is worth preserving?
This month, the borough had a batch of nine landmark candidates before the commission, and four — a group of late-19th-century red-brick row houses built for middle-class renters and known as Horton's Row — were approved on Tuesday.
Only the landmark candidates that satisfied each condition were selected as visual landmarks.
In summary, texture-based methods generate landmark candidates independently from each local detector.
b A landmark with dense feature points is selected if several landmark candidates have the same number of arcs.
To create a quality visual landmark, the feature region selection process is performed according to the procedure explained in "Landmark candidates collection" and "Landmark selection criteria".
When several landmark candidates have the same number of arcs, as shown in (B), a region with denser feature points is selected.
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