CPV301_-_SP_2023_-_FE_197.webp
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CPV301_-_SP_2023_-_FE_197.webp

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Choose the best description of the Histogram of Oriented Gradients- HOG
A. HOG is a histogram of orientations of the image gradients within an object
B. HOG method is used for object detection and image recognition.
C. HOG is based on a feature detector, which extracts useful information and discards unnecessary parts.
D. HOG calculates the total component of the gradient's magnitude and direction of each individual pixel.

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