Focal plane processing for HOG detection with Bayer pattern sensors
Allen Rush, Sally L. Wood · 2016
The efficiency and accuracy of keypoint detection can potentially be improved using filters which operate directly on the raw Bayer-pattern image for preprocessing such as Histogram of Oriented Gradients (HOG). In applications where the goal is detection and identification of image content rather than the production of an image for human viewing, demosaicing would be unnecessary. For focal plane processing, filter structures are mapped to the color filter arrangement of the Bayer-pattern subsampling. The results show that the proposed filters can work well for most natural image edge detection and orientation, which is used for determining the HOG histograms.