HPC Clusters
Computer Vision
Histogram of Oriented Gradients: A feature descriptor that counts occurrences of gradient orientation in image regions.
Detailed Explanation
Histogram of Oriented Gradients (HOG) is a feature descriptor used in computer vision to capture object shape and appearance by analyzing the distribution of gradient directions within localized regions of an image. It computes the intensity and direction of edges, making it effective for tasks like object detection and recognition by highlighting edge patterns and contours.
Use Cases
- •HOG features detect objects like pedestrians in images for real-time surveillance and autonomous vehicle navigation.
Related Terms
Other terms in the Computer Vision category