Computer Vision Metrics: Survey, Taxonomy, and Analysis by Scott Krig

Author:Scott Krig [Krig, Scott]
Language: eng
Format: epub, pdf
Tags: Computers & Technology, Graphic Design, Programming, Graphics & Multimedia, Software, Reference, Web Graphics
ISBN: 9781430259299
Amazon: B00K6N4JS0
Publisher: Apress
Published: 2014-05-27T04:00:00+00:00

Salient Regions

Salient regions [162,163] are based on the notion that interest points over a range of scales should exhibit local attributes or entropy that are “unpredictable” or “surprising” compared to the surrounding region. The method proceeds as follows:

The Shannon entropy E of pixel attributes such as intensity or color are computed over a scale space, where Shannon entropy is used the measure of unpredictability.

The entropy values are located over the scale space with maxima or peak values M. At this stage, the optimal scales are determined as well.

The probability density function (PDF) is computed for magnitude deltas at each peak within each scale, where the PDF is computed using a histogram of pixel values taken from a circular window of desired radius from the peak.

Saliency is the product of E and M at each peak, and is also related to scale. So the final detector is salient and robust to scale.

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