Affine Invariant Feature

Affine invariant features are characteristics of images that remain consistent even when the image undergoes transformations like rotation, scaling, or skewing. Imagine taking a drawing and then stretching, rotating, or tilting it; affine invariance ensures that the key features you identify—like edges or corners—still stand out and can be recognized regardless of these changes. This property is essential in computer vision tasks such as object recognition and image matching, enabling algorithms to identify the same object from different perspectives or under various distortions with high reliability.