Categories: AI/ML Research

How to Train a Object Detection Engine with HOG in OpenCV

In the previous post, you saw that OpenCV can extract features from an image using a technique called the Histogram of Oriented Gradients (HOG). In short, this is to convert a “patch” of an image into a numerical vector. This vector, if set up appropriately, can identify key features within that patch. While you can […]

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Extracting Histogram of Gradients with OpenCV

Besides the feature descriptor generated by SIFT, SURF, and ORB, as in the previous post, the Histogram of Oriented Gradients (HOG) is another feature descriptor you can obtain using OpenCV. HOG is a robust feature descriptor widely used in computer vision and image processing for object detection and recognition tasks.…

November 13, 2023

In "AI/ML Research"

Support Vector Machines for Image Classification and Detection Using OpenCV

In a previous tutorial, we have explored the use of the Support Vector Machine algorithm as one of the most popular supervised machine learning techniques that comes implemented in the OpenCV library. So far, we have seen how to apply Support Vector Machines to a custom dataset that we have…

November 29, 2023

In "AI/ML Research"

Image Feature Extraction in OpenCV: Edges and Corners

In the world of computer vision and image processing, the ability to extract meaningful features from images is important. These features serve as vital inputs for various downstream tasks, such as object detection and classification. There are multiple ways to find these features. The naive way is to count the…

November 8, 2023

In "AI/ML Research"

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