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In summary, the best classification performance is achieved when luminance interval is set as 14.
This selection of feature dimensions is not uniform but rational because the main effect of luminance distribution for facial color classification is the luminance interval number.
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The operation of the sequential control is divided into several luminance intervals of control, which will be described.
We also find that extreme luminance intervals would achieve inferior classification performance in our experiment.
In addition, interval values 23 and 3 are also performed due to some large spacing at luminance intervals or feature dimensions.
In Figure 7, we show the classification accuracy results over luminance intervals from 1 to 35, deriving feature dimensions from 12 to 284.
The procedure which uses information about gradient luminance in specified intervals (image lumination procedure (ILP)) in connection with the analysis of components in (R/G, B/G) space [31] may be an interesting approach.
Full-field checkerboard stimulation was applied to each eye separately (central fixation; rectangular stimulus field diagonally subtending 10.3° of visual angle; check-size, 30.96′ minutes of arc; 2 × 300 stimuli per eye; 526 ms interstimulus interval; mean luminance 57.5 cd; Michelson contrast, 97 %) according to international guidelines (Celesia and Brigell 1999).
First, the overview of Figure 6 is rarely or not discussed in literature, and it provides ways for a large range of control of the luminance and with defined intervals.
All channels were normalized into the [0,1] interval, but the luminance channel was given an additional multiplier of 0.5 in order to somewhat suppress the influence of gradients that are often caused by the natural lighting conditions.
Then the interval of adjacent luminance is determined experimentally.
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