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HOG

[hɒɡ]
Computer Vision
Last updated: December 9, 2024

Definition

Histogram of Oriented Gradients: A feature descriptor that counts occurrences of gradient orientation in image regions.

Detailed Explanation

HOG features are computed by dividing the image into small cells computing gradient orientations within each cell and combining these into larger blocks for normalization. This approach is particularly effective for capturing shape and edge information while maintaining some invariance to lighting and small geometric transformations.

Use Cases

1. Pedestrian detection 2. Object recognition 3. Human detection 4. Vehicle detection

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