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A student inquired about the process of computing a descriptor from a histogram.
Following the detection of a feature, a 16 x 16 pixel region is examined and subdivided into 4 x 4 cells, with each cell containing 16 pixels.
For each pixel, a gradient is calculated, and these gradient values are allocated into one of 8 bins.
Consequently, each cell is characterized by a histogram consisting of 8 bin values. Therefore, for the 4 x 4 cells, there are a total of 128 values (8 bin x 4 x 4 cells).
Prior to comparison, these values undergo normalization to adjust for variations in intensity between different images.
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https://medium.com/@ibabin/an-overview-of-sift-69a8b42cd5da
A student inquired about the process of computing a descriptor from a histogram.
Following the detection of a feature, a 16 x 16 pixel region is examined and subdivided into 4 x 4 cells, with each cell containing 16 pixels.
For each pixel, a gradient is calculated, and these gradient values are allocated into one of 8 bins.
Consequently, each cell is characterized by a histogram consisting of 8 bin values. Therefore, for the 4 x 4 cells, there are a total of 128 values (8 bin x 4 x 4 cells).
Prior to comparison, these values undergo normalization to adjust for variations in intensity between different images.
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