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This value can be predefined; thus, quality landmark selection can be automatically achieved.
However, well-designed evaluation criteria are required to select a quality landmark.
Here, to generate a local feature region, the parameters were the same as those described in "Quality landmark selection".
Methods (a)–(d) ("Landmark selection criteria") were used to determine whether they are suitable for selecting a quality landmark.
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This graph shows that the proposed approach allows us to find quality landmarks using the weight coefficient, e.g., G greater than 5.0 statistically guarantees quality landmarks.
Where high quality landmarks are available, it would be straightforward to incorporate these into the curve estimation procedures.
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".
The quality of landmarks should be considered when extracting visual landmarks from image streams.
The proposed method selects quality visual landmarks in a step-by-step manner.
Through several phases, highly distinctive landmarks are selected, e.g., mutual consistency checks ensure the quality of the landmark.
"We're not going to encroach on the landmark quality".
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