image-processingcomputer-visionfeature-detectionkeypoint

What is difference between features and keypoints in computer vision?


I am studying something about some possibilities of OpenCV object detection and this is confusing to me. I just don't see the difference between these two.


Solution

  • Image features are small patches that are useful to compute similarities between images. An image feature is usually composed of a feature keypoint and a feature descriptor.

    The keypoint usually contains the patch 2D position and other stuff if available such as scale and orientation of the image feature.

    The descriptor contains the visual description of the patch and is used to compare the similarity between image features.